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Title: A note on extension of sliced average variance estimation to multivariate regression |
Abstract: This paper has been withdrawn because the Editor of Electronical Journal of Statistics declined the paper. |
Title: Random projection trees for vector quantization |
Abstract: A simple and computationally efficient scheme for tree-structured vector quantization is presented. Unlike previous methods, its quantization error depends only on the intrinsic dimension of the data distribution, rather than the apparent dimension of the space in which the data happen to lie. |
Title: Adaptive estimation of a distribution function and its density in sup-norm loss by wavelet and spline projections |
Abstract: Given an i.i.d. sample from a distribution $F$ on $$ with uniformly continuous density $p_0$, purely data-driven estimators are constructed that efficiently estimate $F$ in sup-norm loss and simultaneously estimate $p_0$ at the best possible rate of convergence over H\"older balls, also in sup-norm loss. The ... |
Title: Uniform limit theorems for wavelet density estimators |
Abstract: Let $p_n(y)=\sum_k_k\phi(y-k)+\sum_l=0^j_n-1\sum_k\hat \beta_lk2^l/2\psi(2^ly-k)$ be the linear wavelet density estimator, where $\phi$, $\psi$ are a father and a mother wavelet (with compact support), $_k$, $_lk$ are the empirical wavelet coefficients based on an i.i.d. sample of random variables distributed... |
Title: A Fast Algorithm and Datalog Inexpressibility for Temporal Reasoning |
Abstract: We introduce a new tractable temporal constraint language, which strictly contains the Ord-Horn language of Buerkert and Nebel and the class of AND/OR precedence constraints. The algorithm we present for this language decides whether a given set of constraints is consistent in time that is quadratic in the in... |
Title: On-line Learning of an Unlearnable True Teacher through Mobile Ensemble Teachers |
Abstract: On-line learning of a hierarchical learning model is studied by a method from statistical mechanics. In our model a student of a simple perceptron learns from not a true teacher directly, but ensemble teachers who learn from the true teacher with a perceptron learning rule. Since the true teacher and the ense... |
Title: Overall and Pairwise Segregation Tests Based on Nearest Neighbor Contingency Tables |
Abstract: Multivariate interaction between two or more classes (or species) has important consequences in many fields and causes multivariate clustering patterns such as segregation or association. The spatial segregation occurs when members of a class tend to be found near members of the same class (i.e., near conspec... |
Title: Swarm-Based Spatial Sorting |
Abstract: Purpose: To present an algorithm for spatially sorting objects into an annular structure. Design/Methodology/Approach: A swarm-based model that requires only stochastic agent behaviour coupled with a pheromone-inspired "attraction-repulsion" mechanism. Findings: The algorithm consistently generates high-quali... |
Title: Panel Cointegration with Global Stochastic Trends |
Abstract: This paper studies estimation of panel cointegration models with cross-sectional dependence generated by unobserved global stochastic trends. The standard least squares estimator is, in general, inconsistent owing to the spuriousness induced by the unobservable I(1) trends. We propose two iterative procedures... |
Title: Distributed Self Management for Distributed Security Systems |
Abstract: Distributed system as e.g. artificial immune systems, complex adaptive systems, or multi-agent systems are widely used in Computer Science, e.g. for network security, optimisations, or simulations. In these systems, small entities move through the network and perform certain tasks. At some time, the entities ... |
Title: Next Challenges in Bringing Artificial Immune Systems to Production in Network Security |
Abstract: The human immune system protects the human body against various pathogens like e.g. biological viruses and bacteria. Artificial immune systems reuse the architecture, organization, and workflows of the human immune system for various problems in computer science. In the network security, the artificial immune... |
Title: A New Algorithm for Interactive Structural Image Segmentation |
Abstract: This paper proposes a novel algorithm for the problem of structural image segmentation through an interactive model-based approach. Interaction is expressed in the model creation, which is done according to user traces drawn over a given input image. Both model and input are then represented by means of attri... |
Title: Confidence regions for the multinomial parameter with small sample size |
Abstract: Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown discrete distribution on 1,...,d. In many applications, the construction of a confidence region for p when n is small... |
Title: Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration |
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervised learning problem, have been proposed recently. Finding good policies with such methods requires not only an appropriate classifier, but also ... |
Title: Rollout Sampling Approximate Policy Iteration |
Abstract: Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schemes without value functions which focus on policy representation using classifiers and address policy learning as a supervised lear... |
Title: On the elicitation of continuous, symmetric, unimodal distributions |
Abstract: In this brief note, we highlight some difficulties that can arise when fitting a continuous, symmetric, unimodal distribution to a set of expert's judgements. A simple analysis shows it is possible to fit a Cauchy distribution to an expert's beliefs when their beliefs actually follow a normal distribution. Th... |
Title: Statistical inference under order restrictions on both rows and columns of a matrix, with an application in toxicology |
Abstract: We present a general methodology for performing statistical inference on the components of a real-valued matrix parameter for which rows and columns are subject to order restrictions. The proposed estimation procedure is based on an iterative algorithm developed by Dykstra and Robertson (1982) for simple orde... |
Title: Adaptive approximate Bayesian computation |
Abstract: Sequential techniques can enhance the efficiency of the approximate Bayesian computation algorithm, as in Sisson et al.'s (2007) partial rejection control version. While this method is based upon the theoretical works of Del Moral et al. (2006), the application to approximate Bayesian computation results in a... |
Title: Estimation of population-level summaries in general semiparametric repeated measures regression models |
Abstract: This paper considers a wide family of semiparametric repeated measures regression models, in which the main interest is on estimating population-level quantities such as mean, variance, probabilities etc. Examples of our framework include generalized linear models for clustered/longitudinal data, among many o... |
Title: A nonparametric control chart based on the Mann-Whitney statistic |
Abstract: Nonparametric or distribution-free charts can be useful in statistical process control problems when there is limited or lack of knowledge about the underlying process distribution. In this paper, a phase II Shewhart-type chart is considered for location, based on reference data from phase I analysis and the ... |
Title: Graph Algorithms for Improving Type-Logical Proof Search |
Abstract: Proof nets are a graph theoretical representation of proofs in various fragments of type-logical grammar. In spite of this basis in graph theory, there has been relatively little attention to the use of graph theoretic algorithms for type-logical proof search. In this paper we will look at several ways in whi... |
Title: Toward Fuzzy block theory |
Abstract: This study, fundamentals of fuzzy block theory, and its application in assessment of stability in underground openings, has surveyed. Using fuzzy topics and inserting them in to key block theory, in two ways, fundamentals of fuzzy block theory has been presented. In indirect combining, by coupling of adaptive... |
Title: A multilateral filtering method applied to airplane runway image |
Abstract: By considering the features of the airport runway image filtering, an improved bilateral filtering method was proposed which can remove noise with edge preserving. Firstly the steerable filtering decomposition is used to calculate the sub-band parameters of 4 orients, and the texture feature matrix is then ob... |
Title: Multiple testing procedures under confounding |
Abstract: While multiple testing procedures have been the focus of much statistical research, an important facet of the problem is how to deal with possible confounding. Procedures have been developed by authors in genetics and statistics. In this chapter, we relate these proposals. We propose two new multiple testing ... |
Title: An optimization problem on the sphere |
Abstract: We prove existence and uniqueness of the minimizer for the average geodesic distance to the points of a geodesically convex set on the sphere. This implies a corresponding existence and uniqueness result for an optimal algorithm for halfspace learning, when data and target functions are drawn from the uniform... |
Title: A Kernel Method for the Two-Sample Problem |
Abstract: We propose a framework for analyzing and comparing distributions, allowing us to design statistical tests to determine if two samples are drawn from different distributions. Our test statistic is the largest difference in expectations over functions in the unit ball of a reproducing kernel Hilbert space (RKHS... |
Title: Analysis of hydrocyclone performance based on information granulation theory |
Abstract: This paper describes application of information granulation theory, on the analysis of hydrocyclone perforamance. In this manner, using a combining of Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are obtained(briefly called SONFIS). Balancing of crisp granules an... |
Title: Projected likelihood contrasts for testing homogeneity in finite mixture models with nuisance parameters |
Abstract: This paper develops a test for homogeneity in finite mixture models where the mixing proportions are known a priori (taken to be 0.5) and a common nuisance parameter is present. Statistical tests based on the notion of Projected Likelihood Contrasts (PLC) are considered. The PLC is a slight modification of th... |
Title: Correcting for selection bias via cross-validation in the classification of microarray data |
Abstract: There is increasing interest in the use of diagnostic rules based on microarray data. These rules are formed by considering the expression levels of thousands of genes in tissue samples taken on patients of known classification with respect to a number of classes, representing, say, disease status or treatmen... |
Title: Model selection and sensitivity analysis for sequence pattern models |
Abstract: In this article we propose a maximal a posteriori (MAP) criterion for model selection in the motif discovery problem and investigate conditions under which the MAP asymptotically gives a correct prediction of model size. We also investigate robustness of the MAP to prior specification and provide guidelines f... |
Title: A toolkit for a generative lexicon |
Abstract: In this paper we describe the conception of a software toolkit designed for the construction, maintenance and collaborative use of a Generative Lexicon. In order to ease its portability and spreading use, this tool was built with free and open source products. We eventually tested the toolkit and showed it fi... |
Title: Increasing Linear Dynamic Range of Commercial Digital Photocamera Used in Imaging Systems with Optical Coding |
Abstract: Methods of increasing linear optical dynamic range of commercial photocamera for optical-digital imaging systems are described. Use of such methods allows to use commercial photocameras for optical measurements. Experimental results are reported. |
Title: Symmetry in Data Mining and Analysis: A Unifying View based on Hierarchy |
Abstract: Data analysis and data mining are concerned with unsupervised pattern finding and structure determination in data sets. The data sets themselves are explicitly linked as a form of representation to an observational or otherwise empirical domain of interest. "Structure" has long been understood as symmetry whi... |
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