FileName stringlengths 17 17 | Abstract stringlengths 163 6.01k | Title stringlengths 12 421 |
|---|---|---|
S0167839615001399 | This expository paper exhibits the power and versatility of the Bernstein–Bézier form of a polynomial, and the role that it has played in the analysis of multivariate spline spaces. Several particular applications are discussed in some detail. The purpose of the paper is to provide the reader with a working facility wi... | Multivariate splines and the Bernstein–Bézier form of a polynomial |
S0167839615001405 | We study the dimension of trivariate C 1 splines on bipyramid cells, that is, cells with n + 2 boundary vertices, n of which are coplanar with the interior vertex. We improve the earlier lower bound on the dimension given by J. Shan. Moreover, we derive a new upper bound that is equal to the known lower bound in most c... | Dimension of trivariate C 1 splines on bipyramid cells |
S0167839615001417 | This paper provides a general formula for the dimension of spline space over general planar T-meshes (having concave corners or holes) by using the smoothing cofactor-conformality method. We introduce a new notion, the diagonalizable T-mesh, where the dimension formula is only associated with the topological informatio... | On the dimension of spline spaces over T-meshes with smoothing cofactor-conformality method |
S0167839615001429 | We show that a weighted least squares approximation of Bézier coefficients with factored Hahn weights provides the best constrained polynomial degree reduction with respect to the Jacobi L 2 -norm. This result affords generalizations to many previous findings in the field of polynomial degree reduction. A solution meth... | Constrained multi-degree reduction with respect to Jacobi norms |
S0167839615001442 | In this paper the G 1 interpolation of two data points and two tangent directions with spatial cubic rational PH curves is considered. It is shown that interpolants exist for any true spatial data configuration. The equations that determine the interpolants are derived by combining a closed form representation of a ten... | G 1 interpolation by rational cubic PH curves in R 3 |
S0167839615001454 | In this note we study the regularity of generalized Hermite interpolation and compare it to that of classical Hermite interpolation. While every Hermite interpolation scheme is regular in one variable, the “classical Hermite interpolation schemes” in several variables are regular if and only if they are supported at on... | On regularity of generalized Hermite interpolation |
S0167839616000029 | Let Δ n be a cell with a single interior vertex and n boundary vertices v 1 , … , v n . Say that Δ n has the interpolation property if for every z 1 , … , z n ∈ R there is a spline s ∈ S 2 1 ( Δ n ) such that s ( v i ) = z i for all i. We investigate under what conditions does a cell fail the interpolation property. Th... | Interpolation properties of C 1 quadratic splines on hexagonal cells |
S0167839616000030 | In this paper we define Tchebycheffian spline spaces over planar T-meshes and we address the problem of determining their dimension. We extend to the Tchebycheffian spline context the homological approach previously used to characterize polynomial spline spaces over T-meshes, and we exploit this characterization in the... | On the dimension of Tchebycheffian spline spaces over planar T-meshes |
S0167839616300085 | We present a new method for immersogeometric fluid flow analysis that directly uses the CAD boundary representation (B-rep) of a complex object and immerses it into a locally refined, non-boundary-fitted discretization of the fluid domain. The motivating applications include analyzing the flow over complex geometries, ... | Direct immersogeometric fluid flow analysis using B-rep CAD models |
S0167839616300115 | Recently, a construction of spline spaces suitable for representing smooth parametric surfaces of arbitrary topological genus and arbitrary order of continuity has been proposed. These splines, called RAGS (rational geometric splines), are a direct generalization of bivariate polynomial splines on planar triangulations... | On constructing RAGS via homogeneous splines |
S0167839616300127 | Hilbert–Huang Transform (HHT) has proven to be extremely powerful for signal processing and analysis in 1D time series, and its generalization to regular tensor-product domains (e.g., 2D and 3D Euclidean space) has also demonstrated its widespread utilities in image processing and analysis. Compared with popular Fourie... | Novel and efficient computation of HilbertâHuang transform on surfaces |
S0167839616300139 | We propose an automatic method for fast reconstruction of indoor scenes from raw point scans, which is a fairly challenging problem due to the restricted accessibility and the cluttered space for indoor environment. We first detect and remove points representing the ground, walls and ceiling from the input data and clu... | Cluttered indoor scene modeling via functional part-guided graph matching |
S0167839616300164 | In this paper, we propose a novel unsupervised algorithm for automatically segmenting a single 3D shape or co-segmenting a family of 3D shapes using deep learning. The algorithm consists of three stages. In the first stage, we pre-decompose each 3D shape of interest into primitive patches to generate over-segmentation ... | Unsupervised 3D shape segmentation and co-segmentation via deep learning |
S0167839616300188 | This paper proposes a fast algorithm for computing the real roots of univariate polynomials given in the Bernstein basis. Traditionally, the polynomial is subdivided until a root can be isolated. In contrast, herein we aim to find a root only to subdivide the polynomial at the root. This subdivision based algorithm exp... | Revisiting the problem of zeros of univariate scalar Béziers |
S0167839616300206 | Generalized quantum splines are piecewise polynomials whose generalized quantum derivatives agree up to some order at the joins. Just like classical and quantum splines, generalized quantum splines admit a canonical basis with compact support: the generalized quantum B-splines. Here we study generalized quantum B-splin... | Generalized quantum splines |
S0167839616300218 | This paper shows that generic 2D-Free-Form Deformations of degree 1 × n can be made birational by a suitable assignment of weights to the Bézier or B-spline control points. An FFD that is birational facilitates operations such as backward mapping for image warping, and Extended Free-Form Deformation. While birational m... | Birational 2D Free-Form Deformation of degree 1× n |
S0167839616300280 | The theory of the isoptic curves is widely studied in the Euclidean plane E 2 (see Cieślak et al., 1991 and Wieleitner, 1908 and the references given there). The analogous question was investigated by the authors in the hyperbolic H 2 and elliptic E 2 planes (see Csima and Szirmai, 2010, 2012, submitted for publication... | Isoptic surfaces of polyhedra |
S0167839616300292 | A Quasi Extended Chebyshev (QEC) space is a space of sufficiently differentiable functions in which any Hermite interpolation problem which is not a Taylor problem is unisolvent. On a given interval the class of all spaces which contains constants and for which the space obtained by differentiation is a QEC-space has b... | Design with Quasi Extended Chebyshev piecewise spaces |
S0167839616300413 | Hierarchical generating systems that are derived from Zwart–Powell (ZP) elements can be used to generate quadratic splines on adaptively refined criss-cross triangulations. We propose two extensions of these hierarchical generating systems, firstly decoupling the hierarchical ZP elements, and secondly enriching the sys... | Completeness of generating systems for quadratic splines on adaptively refined criss-cross triangulations |
S0167865513003322 | In this paper we propose a new method for skin detection in color images which consists in spatial analysis using the introduced texture-based discriminative skin-presence features. Color-based skin detection has been widely explored and many skin color modeling techniques were developed so far. However, efficacy of th... | Spatial-based skin detection using discriminative skin-presence features |
S0167865513004625 | This work addresses the problem of detecting human behavioural anomalies in crowded surveillance environments. We focus in particular on the problem of detecting subtle anomalies in a behaviourally heterogeneous surveillance scene. To reach this goal we implement a novel unsupervised context-aware process. We propose a... | Contextual anomaly detection in crowded surveillance scenes |
S0167865514001263 | In mammographic imaging, the presence of microcalcifications, small deposits of calcium in the breast, is a primary indicator of breast cancer. However, not all microcalcifications are malignant and their distribution within the breast can be used to indicate whether clusters of microcalcifications are benign or malign... | Modelling mammographic microcalcification clusters using persistent mereotopology |
S0167865515000744 | Vision is one of the most important of the senses, and humans use it extensively during navigation. We evaluated different types of image and video frame descriptors that could be used to determine distinctive visual landmarks for localizing a person based on what is seen by a camera that they carry. To do this, we cre... | Appearance-based indoor localization: A comparison of patch descriptor performance |
S0167865515001269 | Constructivist philosophy and Hasok Chang’s active scientific realism are used to argue that the idea of “truth” in cluster analysis depends on the context and the clustering aims. Different characteristics of clusterings are required in different situations. Researchers should be explicit about on what requirements an... | What are the true clusters? |
S0167865515001531 | Several applications aim to identify rare events from very large data sets. Classification algorithms may present great limitations on large data sets and show a performance degradation due to class imbalance. Many solutions have been presented in literature to deal with the problem of huge amount of data or imbalancin... | Parallel selective sampling method for imbalanced and large data classification |
S0167865515001622 | Pattern classification methods assign an object to one of several predefined classes/categories based on features extracted from observed attributes of the object (pattern). When L discriminatory features for the pattern can be accurately determined, the pattern classification problem presents no difficulty. However, p... | The Parzen Window method: In terms of two vectors and one matrix |
S0167865515002263 | Better understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Proper non-rigid alignment of high-resolution cochlear μCT data is a challenge for the typical cubic B-spline registration model. In this paper we study one way of incorporating skelet... | Free-form image registration of human cochlear μCT data using skeleton similarity as anatomical prior |
S0167865515002275 | Although studied for decades, effective face recognition remains difficult to accomplish on account of occlusions and pose and illumination variations. Pose variance is a particular challenge in face recognition. Effective local descriptors have been proposed for frontal face recognition. When these descriptors are dir... | Cross-pose face recognition based on multiple virtual views and alignment error |
S0167923613001814 | Networks permitting anonymous contributions continue to expand and flourish. In some networks, the reliability of a contribution is not of particular importance. In other settings, however, the development of a network is driven by specific purposes which make the reliability of information exchanged of significant imp... | Reliability (or “lack thereof”) of on-line preference revelation: A controlled experimental analysis |
S0167923613001875 | A keyword auction is conducted by Internet search engines to sell advertising slots listed on the search results page. Although much of the literature assumes the dynamic bidding strategy that utilizes the current bids of other advertisers, such information is, in practice, not available for participants in the auction... | Bidding behaviors for a keyword auction in a sealed-bid environment |
S0167923614001250 | Identification of intrinsic characteristics and structure of high-dimensional data is an important task for financial analysis. This paper presents a kernel entropy manifold learning algorithm, which employs the information metric to measure the relationships between two financial data points and yields a reasonable lo... | A kernel entropy manifold learning approach for financial data analysis |
S0167923614002012 | In today's dynamic media landscape, products are reviewed by consumers in social media and reported by journalists in traditional media. This paper will focus on the relationship among the two types of “earned” media and product sales. Previous studies have focused on either traditional or social earned media, but rare... | Why Amazon uses both the New York Times Best Seller List and customer reviews: An empirical study of multiplier effects on product sales from multiple earned media |
S0167923614002036 | It has become increasingly important for companies to utilize electronic word of mouth (eWOM) in their marketing campaigns for desired product sales. Identifying key eWOM disseminators among consumers is a challenge for companies. WOM is an interpersonal communication in which a sender spreads a message to receivers. P... | Finding disseminators via electronic word of mouth message for effective marketing communications |
S0167923614002498 | The huge amount of textual data on the Web has grown in the last few years rapidly creating unique contents of massive dimension. In a decision making context, one of the most relevant tasks is polarity classification of a text source, which is usually performed through supervised learning methods. Most of the existing... | Sentiment analysis: Bayesian Ensemble Learning |
S0167923615001426 | By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages. However, existing systems adopt a passive way to collect users' credibility ratings, which incurs two crucial challenges: (1) a considerable fraction of Web con... | Towards a highly effective and robust Web credibility evaluation system |
S0167923615001967 | The prevalence of social media has greatly catalyzed the dissemination and proliferation of online memes (e.g., ideas, topics, melodies, and tags). However, this information abundance is exceeding the capability of online users to consume it. Ranking memes based on their popularities could promote online advertisement ... | A model-free scheme for meme ranking in social media |
S0167923616300197 | Deception is an inevitable component of human interaction. Researchers and practitioners are developing information systems to aid in the detection of deceptive communication. Information systems are typically adopted by end users to aid in completing a goal or objective (e.g., increasing the efficiency of a business p... | Man vs. machine: Investigating the effects of adversarial system use on end-user behavior in automated deception detection interviews |
S0167926015000231 | The increasing complexity of VLSI digital systems has dramatically supported system-level representations in modeling and design activities. This evolution makes often necessary a compliant rearrangement of the modalities followed in validation and analysis tasks, as in the case of power performances estimation. Nowada... | Transaction-level power analysis of VLSI digital systems |
S0167931713002025 | Anomalous modulation characteristics of Josephson current I c through niobium tunnel junctions at liquid helium temperature were first measured after applying the external magnetic field in perpendicular direction. Josephson current I c was modulated by applying the external magnetic fields (Hx , Hy ) parallel and Hz v... | Anomalous modulation characteristics of DC Josephson current through niobium tunnel junction by applying external magnetic field 4000A/m in perpendicular direction |
S0167931713002438 | Using ab initio calculations we demonstrate that extra electrons in pure amorphous SiO2 can be trapped in deep band gap states. Classical potentials were used to generate amorphous silica models and density functional theory to characterise the geometrical and electronic structures of trapped electrons. Extra electrons... | Identification of intrinsic electron trapping sites in bulk amorphous silica from ab initio calculations |
S0167931713002487 | High-κ dielectric gate stacks comprising HfO2 were fabricated on Ge with alumina as the barrier level. This was achieved by thermal annealing in an ultra high vacuum to remove the native oxide followed by deposition of aluminium by molecular beam epitaxy. After in situ oxidation at ambient temperature, HfO2 was deposit... | Low EOT GeO2/Al2O3/HfO2 on Ge substrate using ultrathin Al deposition |
S0167931713004061 | Current progress in tissue engineering is focused on the creation of environments in which cultures of relevant cells can adhere, grow and form functional tissue. We propose a method for controlled chemical and topographical cues through surface patterning of self-folding hydrogel films. This provides a conversion of 2... | Self-folding nano- and micropatterned hydrogel tissue engineering scaffolds by single step photolithographic process |
S0167931713004991 | Structuring or removal of the epoxy based, photo sensitive polymer SU-8 by inductively coupled plasma reactive ion etching (ICP-RIE) was investigated as a function of plasma chemistry, bias power, temperature, and pressure. In a pure oxygen plasma, surface accumulation of antimony from the photo-initiator introduced se... | SU-8 etching in inductively coupled oxygen plasma |
S0167931713005042 | In this work the direct transfer of nanopatterns into titanium is demonstrated. The nanofeatures are imprinted at room temperature using diamond stamps in a single step. We also show that the imprint properties of the titanium surface can be altered by anodisation yielding a significant reduction in the required imprin... | Increased efficiency of direct nanoimprinting on planar and curved bulk titanium through surface modification |
S0167931713005078 | The influence of cathode agitation on the residual stress of electroplated gold has been investigated. Using a custom-built plating cell, a periodic, reciprocating motion was applied to silicon substrates that were electroplated with soft gold. A commercially available gold sulfite solution was used to deposit the 0.6μ... | Stress in electroplated gold on silicon substrates and its dependence on cathode agitation |
S0167931713006904 | Copper electro-chemical deposition (ECD) of through silicon via (TSV) is a key challenge of 3D integration. This paper presents a numerical modeling of TSV filling concerning the influence of the accelerator and the suppressor. The diffusion–adsorption model was used in the simulation and effects of the additives were ... | Numerical modeling and experimental verification of through silicon via (TSV) filling in presence of additives |
S0167931714000203 | To restrict pollen tube growth to a single focal plane is an important subject to enable their accurate growth analysis under microscopic observation. In the conventional method to assay pollen tube growth, the pollen tubes grow in a disorderly manner on solid medium, rendering it impossible to observe their growth in ... | Growth assay of individual pollen tubes arrayed by microchannel device |
S0167931714003347 | In order to advance flexible electronic technologies it is important to study the electrical properties of thin metal films on polymer substrates under mechanical load. At the same time, the observation of film deformation and fracture as well as the stresses that are present in the films during straining are also cruc... | Measuring electro-mechanical properties of thin films on polymer substrates |
S0167931714004456 | Lab-on-a-chip (LOC) devices are broadly used for research in the life sciences and diagnostics and represent a very fast moving field. LOC devices are designed, prototyped and assembled using numerous strategies and materials but some fundamental trends are that these devices typically need to be (1) sealed, (2) suppli... | Lab-on-a-chip devices: How to close and plug the lab? |
S0167931715001203 | We used two methods, namely stamping and printing, to transfer arrays of epitaxial gallium phosphide (GaP) nanowires from their growth substrate to a soft, biodegradable layer of polycaprolactone (PCL). Using the stamping method resulted in a very inhomogeneous surface topography with a wide distribution of transferred... | Transfer of vertical nanowire arrays on polycaprolactone substrates for biological applications |
S0167931715002129 | Solid-on-liquid deposition (SOLID) techniques are of great interest to the MEMS and NEMS (Micro- and Nano Electro Mechanical Systems) community because of potential applications in biomedical engineering, on-chip liquid trapping, tunable micro-lenses, and replacements of gate oxides. However, depositing solids on liqui... | Solid on liquid deposition, a review of technological solutions |
S0167931715002154 | Defect assisted electron transfer processes in metal-oxide materials play a key role in a diverse range of effects of relevance to microelectronic applications. However, extracting the key parameters governing such processes experimentally is a challenging problem. Here, we present a first principles based investigatio... | First principles modeling of electron tunneling between defects in m-HfO2 |
S0167931715002488 | Transfer printing has been reported recently as a viable route for electronics on flexible substrates. The method involves transferring micro-/macrostructures such as wires or ultra-thin chips from Si (silicon) wafers to the flexible substrates by using elastomeric transfer substrates such as poly(dimethylsiloxane) (PD... | PDMS residues-free micro/macrostructures on flexible substrates |
S0167931715002920 | The impact of subjecting a n-GaN surface to an in-situ argon plasma in an atomic layer deposition (ALD) tool immediately before deposition of an Al2O3 dielectric film is assessed by frequency dependent evaluation of Al2O3/GaN MOSCAPs. In comparison with a control with no pre-treatment, the use of a 50W argon plasma for... | A study of the impact of in-situ argon plasma treatment before atomic layer deposition of Al2O3 on GaN based metal oxide semiconductor capacitor |
S0167931715300022 | The properties of electroless films produced from a bath designed for horizontal plating, the preferred technology for high production volumes in printed circuit board metallization, are reported. Film thickness, substrate type and electrolyte temperature were varied. Formation of a continuous layer of copper film is c... | Properties of electroless Cu films optimized for horizontal plating as a function of deposit thickness |
S0167931715301155 | We present an improved nanofabrication method of high aspect ratio tungsten structures for use in high efficiency nanofocusing hard X-ray zone plates. A ZEP 7000 electron beam resist layer used for patterning is cured by a second, much larger electron dose after development. The curing step improves pattern transfer fi... | Improved tungsten nanofabrication for hard X-ray zone plates |
S0167931715301167 | We present a new chlorine-free dry etching process which was used to successfully etch indium antimonide grown on gallium arsenide substrates while keeping the substrate temperature below 150 °C. By use of a reflowed photoresist mask a sidewall with 60 degree positive slope was achieved, whereas a nearly vertical o... | Development of InSb dry etch for mid-IR applications |
S0167931716300387 | Optical lithography technique has been applied to fabricate devices from atomically thin sheets, exfoliated mechanically from kish graphite, bulk MoS2 and WSe2. During the fabrication processes, the exfoliated graphene, few-layer MoS2 and WSe2 sheets have been patterned into specific shapes as required and metal contac... | Optical lithography technique for the fabrication of devices from mechanically exfoliated two-dimensional materials |
S0167931716301241 | A novel negative tone molecular resist molecule featuring a tert-butyloxycarbonyl protected phenol malonate group bonded to a 1,8-Diazabicycloundece-7-ene is presented. The resist shows high-resolution capability in electron beam lithography at a range of beam energies. The resist demonstrated a sensitivity of 18.7 µC/... | Performance of a high resolution chemically amplified electron beam resist at various beam energies |
S0167931716301770 | High-aspect-ratio GaN-based nanostructures are of interest for advanced photonic crystal and core-shell devices. Nanostructures grown by a bottom-up approach are limited in terms of doping, geometry and shape which narrow their potential application areas. In contrast, high uniformity and a greater diversity of shap... | Fabrication of high-aspect ratio GaN nanostructures for advanced photonic devices |
S0167947313000571 | An important problem in high-dimensional data analysis is determining whether sample points are uniformly distributed (i.e., exhibit complete spatial randomness) over some compact support, or rather possess some underlying structure (e.g., clusters or other nonhomogeneities). We propose two new graph-theoretic tests of... | An empirical study of tests for uniformity in multidimensional data |
S0167947313001047 | It is often necessary to test for the presence of seasonal unit roots when working with time series data observed at intervals of less than a year. One of the most widely used methods for doing this is based on regressing the seasonal difference of the series over the transformations of the series by applying specific ... | Numerical distribution functions for seasonal unit root tests |
S0167947313001266 | A new algorithm is proposed for OLS estimation of linear models with multiple high-dimensional category variables. It is a generalization of the within transformation to arbitrary number of category variables. The approach, unlike other fast methods for solving such problems, provides a covariance matrix for the remain... | OLS with multiple high dimensional category variables |
S0167947313001576 | The authors consider a dynamic probit model where the coefficients follow a first-order Markov process. An exact Gibbs sampler for Bayesian analysis is presented for the model using the data augmentation approach and the forward filtering backward sampling algorithm for dynamic linear models. The authors discuss how ou... | Bayesian dynamic probit models for the analysis of longitudinal data |
S0167947313002326 | The detection of change-points in heterogeneous sequences is a statistical challenge with applications across a wide variety of fields. In bioinformatics, a vast amount of methodology exists to identify an ideal set of change-points for detecting Copy Number Variation (CNV). While considerable efficient algorithms are ... | Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model |
S0167947313002600 | Categorization is often needed for clinical decision making when dealing with diagnostic (prognostic) biomarkers and a binary outcome (true disease status). Four common methods used to dichotomize a continuous biomarker X are compared: the minimum P -value, the Youden index, the concordance probability and the point cl... | Finding the optimal cut-point for Gaussian and Gamma distributed biomarkers |
S0167947313002818 | Challenges in the analyses of growth mixture models include missing data, outliers, estimation, and model selection. Four non-ignorable missingness models to recover the information due to missing data, and three robust models to reduce the effect of non-normality are proposed. A full Bayesian method is implemented by ... | Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application |
S0167947313002855 | For constructing simultaneous confidence intervals for the ratios of means of several lognormal distributions, we propose a new parametric bootstrap method, which is different from an inaccurate parametric bootstrap method previously considered in the literature. Our proposed method is conceptually simpler than other p... | Simultaneous confidence intervals for ratios of means of several lognormal distributions: A parametric bootstrap approach |
S0167947313003381 | In several empirical applications analyzing customer-by-product choice data, it may be relevant to partition individuals having similar purchase behavior in homogeneous segments. Moreover, should individual- and/or product-specific covariates be available, their potential effects on the probability to choose certain pr... | Model based clustering of customer choice data |
S0167947313003678 | Simulation-based forecasting methods for a non-Gaussian noncausal vector autoregressive (VAR) model are proposed. In noncausal autoregressions the assumption of non-Gaussianity is needed for reasons of identifiability. Unlike in conventional causal autoregressions the prediction problem in noncausal autoregressions is ... | Forecasting with a noncausal VAR model |
S0167947313004465 | In the application of the popular maximum likelihood method to factor analysis, the number of factors is commonly determined through a two-stage procedure, in which stage 1 performs parameter estimation for a set of candidate models and then stage 2 chooses the best according to certain model selection criterion. Usual... | Automated learning of factor analysis with complete and incomplete data |
S0167947314000140 | The g -and- h distributional family is generated from a relatively simple transformation of the standard normal and can approximate a broad spectrum of distributions. Consequently, it is easy to use in simulation studies and has been applied in multiple areas, including risk management, stock return analysis and missin... | Robust estimation of the parameters of g -and- h distributions, with applications to outlier detection |
S0167947314000279 | In non-parametric regression analysis the advantage of frames with respect to classical orthonormal bases is that they can furnish an efficient representation of a more broad class of functions. For example, fast oscillating functions as audio, speech, sonar, radar, EEG and stock market are much more well represented b... | A frame based shrinkage procedure for fast oscillating functions |
S0167947314000462 | We propose a frequency domain generalized likelihood ratio test for testing nonstationarity in time series. The test is constructed in the frequency domain by comparing the goodness of fit in the log-periodogram regression under the varying coefficient fractionally exponential models. Under such a locally stationary sp... | A frequency domain test for detecting nonstationary time series |
S0167947314000577 | The latent class model provides an important platform for jointly modeling mixed-mode data—i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statistic... | Variable assessment in latent class models |
S0167947314000619 | A judgment post-stratified (JPS) sample is used in order to develop statistical inference for population quantiles and variance. For the p th order of the population quantile, a test is constructed, an estimator is developed, and a distribution-free confidence interval is provided. An unbiased estimator for the populat... | Statistical inference for population quantiles and variance in judgment post-stratified samples |
S0167947314000899 | A mixture of skew- t factor analyzers is introduced as well as a family of mixture models based thereon. The particular formulation of the skew- t distribution used arises as a special case of the generalized hyperbolic distribution. Like their Gaussian and t -distribution analogues, mixtures of skew- t factor analyzer... | Mixtures of skew- t factor analyzers |
S0167947314000929 | A methodology based on adaptive likelihood ratios (ALRs) for the detection of emerging disease clusters is presented. The martingale structure of the regular likelihood ratio is preserved by the ALR. The upper limit for the false alarm rate of the proposed method depends only on the quantity of evaluated cluster candid... | Adaptive likelihood ratio approaches for the detection of space–time disease clusters |
S0167947314001467 | Multiple-testing problems have received much attention. Different strategies have been considered in order to deal with this problem. The false discovery rate (FDR) is, probably, the most studied criterion. On the other hand, the sequential goodness of fit (SGoF), is a recently proposed approach. Most of the developed ... | On correlated z -values distribution in hypothesis testing |
S0167947314001753 | Limited information statistics have been recommended as the goodness-of-fit measures in sparse 2 k contingency tables, but the p -values of these test statistics are computationally difficult to obtain. A Bayesian model diagnostic tool, Relative Entropy–Posterior Predictive Model Checking (RE–PPMC), is proposed to asse... | A novel relative entropy–posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2 k contingency tables |
S0167947314002102 | An algorithm for the evaluation of the exact Gaussian likelihood of an r -dimensional vector autoregressive-moving average (VARMA) process of order ( p , q ), with time-dependent coefficients, including a time dependent innovation covariance matrix, is proposed. The elements of the matrices of coefficients and those of... | The exact Gaussian likelihood estimation of time-dependent VARMA models |
S0167947314002126 | A vital extension to partial least squares (PLS) path modeling is introduced: consistency. While maintaining all the strengths of PLS, the consistent version provides two key improvements. Path coefficients, parameters of simultaneous equations, construct correlations, and indicator loadings are estimated consistently.... | Consistent and asymptotically normal PLS estimators for linear structural equations |
S0167947314002291 | Multivariate adaptive regression splines (MARS) provide a flexible statistical modeling method that employs forward and backward search algorithms to identify the combination of basis functions that best fits the data and simultaneously conduct variable selection. In optimization, MARS has been used successfully to est... | A convex version of multivariate adaptive regression splines |
S0167947314002333 | Estimation of longitudinal models of relationship status between all pairs of individuals (dyads) in social networks is challenging due to the complex inter-dependencies among observations and lengthy computation times. To reduce the computational burden of model estimation, a method is developed that subsamples the “a... | Using retrospective sampling to estimate models of relationship status in large longitudinal social networks |
S0167947314002345 | The lifetime of subjects in reliability and survival analysis in the presence of several causes of failure (i.e., competing risks) has attracted attention in the literature. Most studies have simplified the computations by assuming that the causes are independent, though this does not hold. Dependent competing risks un... | Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution |
S0167947314002382 | This paper presents a new efficient and robust smooth-threshold generalized estimating equations for generalized linear models (GLMs) with longitudinal data. The proposed method is based on a bounded exponential score function and leverage-based weights to achieve robustness against outliers both in the response and th... | An efficient and robust variable selection method for longitudinal generalized linear models |
S0167947314002448 | A Gini-based statistical test for a unit root is suggested. This test is based on the well-known Dickey–Fuller test, where the ordinary least squares (OLS) regression is replaced by the semi-parametric Gini regression in modeling the AR process. A residual-based bootstrap is used to find critical values. The Gini metho... | A Gini-based unit root test |
S0167947314002473 | A resolution of the Fisher effect puzzle in terms of statistical inference is attempted. Motivation stems from empirical evidence of time-varying coefficients in the data generating process of both the interest rates and inflation rates for 19 OECD countries. These time-varying dynamics crucially affect the behaviour o... | The Fisher effect in the presence of time-varying coefficients |
S0167947314002953 | The tri-linear PLS2 iterative procedure, an algorithm pertaining to the NIPALS framework, is considered. It was previously proposed as a first stage to estimate parameters of the multi-way PLS regression method. It is shown that the tri-linear PLS2 procedure is convergent. The procedure generates a sequence of paramete... | Multi-way PLS regression: Monotony convergence of tri-linear PLS2 and optimality of parameters |
S0167947314003338 | The intraclass correlation coefficient (ICC) in a two-way analysis of variance is a ratio involving three variance components. Two recently developed methods for constructing confidence intervals (CI’s) for the ICC are the Generalized Confidence Interval (GCI) and Modified Large Sample (MLS) methods. The resulting inte... | Sample size methods for constructing confidence intervals for the intra-class correlation coefficient |
S0167947314003399 | In images with low contrast-to-noise ratio (CNR), the information gain from the observed pixel values can be insufficient to distinguish foreground objects. A Bayesian approach to this problem is to incorporate prior information about the objects into a statistical model. A method for representing spatial prior informa... | An external field prior for the hidden Potts model with application to cone-beam computed tomography |
S0167947314003569 | Retrospective clinical datasets are often characterized by a relatively small sample size and many missing data. In this case, a common way for handling the missingness consists in discarding from the analysis patients with missing covariates, further reducing the sample size. Alternatively, if the mechanism that gener... | Bayesian network data imputation with application to survival tree analysis |
S0167947314003570 | A mixture of latent trait models with common slope parameters for model-based clustering of high-dimensional binary data, a data type for which few established methods exist, is proposed. Recent work on clustering of binary data, based on a d -dimensional Gaussian latent variable, is extended by incorporating common fa... | Model based clustering of high-dimensional binary data |
S0167947315000171 | Model-based clustering associates each component of a finite mixture distribution to a group or cluster. Therefore, an underlying implicit assumption is that a one-to-one correspondence exists between mixture components and clusters. In applications with multivariate continuous data, finite mixtures of Gaussian distrib... | Identifying connected components in Gaussian finite mixture models for clustering |
S0167947315000559 | The asymmetry in the tail dependence between U.S. equity portfolios and the aggregate U.S. market is a well-established property. Given the limited number of observations in the tails of a joint distribution, standard non-parametric measures of tail dependence have poor finite-sample properties and generally reject the... | Asymmetry in tail dependence in equity portfolios |
S0167947315000699 | Methods are introduced for the analysis of large sets of sleep study data (hypnograms) using a 5-state 20-transition-type structure defined by the American Academy of Sleep Medicine. Application of these methods to the hypnograms of 5598 subjects from the Sleep Heart Health Study provide: the first analysis of sleep hy... | Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses |
S0167947315000730 | Cross-validation methodologies have been widely used as a means of selecting tuning parameters in nonparametric statistical problems. In this paper we focus on a new method for improving the reliability of cross-validation. We implement this method in the context of the kernel density estimator, where one needs to sele... | Improving cross-validated bandwidth selection using subsampling-extrapolation techniques |
S0167947315001437 | Multivariate methods often rely on a sample covariance matrix. The conventional estimators of a covariance matrix require complete data vectors on all subjects—an assumption that can frequently not be met. For example, in many fields of life sciences that are utilizing modern measuring technology, such as mass spectrom... | Covariance matrix estimation for left-censored data |
S0167947315001607 | A Moment Ratio estimator is proposed for an AR( p ) model of the errors in an OLS regression, that provides standard errors with far less median bias and confidence intervals with far better coverage than conventional alternatives. A unit root, and therefore the absence of cointegration, does not necessarily mean that ... | Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors |
S0167947315001747 | In the dependency rule mining, the goal is to discover the most significant statistical dependencies among all possible collapsed 2 × 2 contingency tables. Fisher’s exact test is a robust method to estimate the significance and it enables efficient pruning of the search space. The problem is that evaluating the require... | New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.