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10,900 | Inflated Beta Distributions | stat.ME | This paper considers the issue of modeling fractional data observed in the
interval [0,1), (0,1] or [0,1]. Mixed continuous-discrete distributions are
proposed. The beta distribution is used to describe the continuous component of
the model since its density can have quite diferent shapes depending on the
values of the... | statistics |
10,901 | Codage arithmetique pour la description d'une distribution | stat.ME | Using predictive adaptive arithmetic coding and the Minimum Description
Length principle, we derive an efficient tool for model selection problems :
the RIC information criterion. We then present an extension of these coding
techniques to non-parametrical estimation of a distribution and illustrate it
on the gray scale... | statistics |
10,902 | Variable Selection Incorporating Prior Constraint Information into Lasso | stat.ME | We propose the variable selection procedure incorporating prior constraint
information into lasso. The proposed procedure combines the sample and prior
information, and selects significant variables for responses in a narrower
region where the true parameters lie. It increases the efficiency to choose the
true model co... | statistics |
10,903 | Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models | stat.ME | A Bayesian approach is used to estimate the covariance matrix of Gaussian
data. Ideas from Gaussian graphical models and model selection are used to
construct a prior for the covariance matrix that is a mixture over all
decomposable graphs. For this prior the probability of each graph size is
specified by the user and ... | statistics |
10,904 | Sensitivity of principal Hessian direction analysis | stat.ME | We provide sensitivity comparisons for two competing versions of the
dimension reduction method principal Hessian directions (pHd). These
comparisons consider the effects of small perturbations on the estimation of
the dimension reduction subspace via the influence function. We show that the
two versions of pHd can beh... | statistics |
10,905 | Statistical testing procedure for the interaction effects of several controllable factors in two-valued input-output systems | stat.ME | Suppose several two-valued input-output systems are designed by setting the
levels of several controllable factors. For this situation, Taguchi method has
proposed to assign the controllable factors to the orthogonal array and use
ANOVA model for the standardized SN ratio, which is a natural measure for
evaluating the ... | statistics |
10,906 | Undercomplete Blind Subspace Deconvolution via Linear Prediction | stat.ME | We present a novel solution technique for the blind subspace deconvolution
(BSSD) problem, where temporal convolution of multidimensional hidden
independent components is observed and the task is to uncover the hidden
components using the observation only. We carry out this task for the
undercomplete case (uBSSD): we r... | statistics |
10,907 | SiZer for time series: A new approach to the analysis of trends | stat.ME | Smoothing methods and SiZer are a useful statistical tool for discovering
statistically significant structure in data. Based on scale space ideas
originally developed in the computer vision literature, SiZer (SIgnificant ZERo
crossing of the derivatives) is a graphical device to assess which observed
features are `real... | statistics |
10,908 | On semiparametric regression with O'Sullivan penalised splines | stat.ME | This is an expos\'e on the use of O'Sullivan penalised splines in
contemporary semiparametric regression, including mixed model and Bayesian
formulations. O'Sullivan penalised splines are similar to P-splines, but have
an advantage of being a direct generalisation of smoothing splines. Exact
expressions for the O'Sulli... | statistics |
10,909 | A new graphical tool of outliers detection in regression models based on recursive estimation | stat.ME | We present in this paper a new tool for outliers detection in the context of
multiple regression models. This graphical tool is based on recursive
estimation of the parameters. Simulations were carried out to illustrate the
performance of this graphical procedure. As a conclusion, this tool is applied
to real data cont... | statistics |
10,910 | Treelets--An adaptive multi-scale basis for sparse unordered data | stat.ME | In many modern applications, including analysis of gene expression and text
documents, the data are noisy, high-dimensional, and unordered--with no
particular meaning to the given order of the variables. Yet, successful
learning is often possible due to sparsity: the fact that the data are
typically redundant with unde... | statistics |
10,911 | Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models | stat.ME | We express the mean and variance terms in a double exponential regression
model as additive functions of the predictors and use Bayesian variable
selection to determine which predictors enter the model, and whether they enter
linearly or flexibly. When the variance term is null we obtain a generalized
additive model, w... | statistics |
10,912 | A Bayes method for a Bathtub Failure Rate via two $\mathbf{S}$-paths | stat.ME | A class of semi-parametric hazard/failure rates with a bathtub shape is of
interest. It does not only provide a great deal of flexibility over existing
parametric methods in the modeling aspect but also results in a closed and
tractable Bayes estimator for the bathtub-shaped failure rate (BFR). Such an
estimator is der... | statistics |
10,913 | Robust estimates in generalized partially linear models | stat.ME | In this paper, we introduce a family of robust estimates for the parametric
and nonparametric components under a generalized partially linear model, where
the data are modeled by $y_i|(\mathbf{x}_i,t_i)\sim F(\cdot,\mu_i)$ with
$\mu_i=H(\eta(t_i)+\mathbf{x}_i^{$\mathrm{T}$}\beta)$, for some known
distribution function ... | statistics |
10,914 | Expert Elicitation for Reliable System Design | stat.ME | This paper reviews the role of expert judgement to support reliability
assessments within the systems engineering design process. Generic design
processes are described to give the context and a discussion is given about the
nature of the reliability assessments required in the different systems
engineering phases. It ... | statistics |
10,915 | Comment: Expert Elicitation for Reliable System Design | stat.ME | Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279] | statistics |
10,916 | Comment: Expert Elicitation for Reliable System Design | stat.ME | Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279] | statistics |
10,917 | Comment: Expert Elicitation for Reliable System Design | stat.ME | Comment: Expert Elicitation for Reliable System Design [arXiv:0708.0279] | statistics |
10,918 | Rejoinder: Expert Elicitation for Reliable System Design | stat.ME | Rejoinder: Expert Elicitation for Reliable System Design [arXiv:0708.0279] | statistics |
10,919 | Reliability | stat.ME | This special volume of Statistical Sciences presents some innovative, if not
provocative, ideas in the area of reliability, or perhaps more appropriately
named, integrated system assessment. In this age of exponential growth in
science, engineering and technology, the capability to evaluate the
performance, reliability... | statistics |
10,920 | Monitoring Networked Applications With Incremental Quantile Estimation | stat.ME | Networked applications have software components that reside on different
computers. Email, for example, has database, processing, and user interface
components that can be distributed across a network and shared by users in
different locations or work groups. End-to-end performance and reliability
metrics describe the ... | statistics |
10,921 | Comment: Monitoring Networked Applications With Incremental Quantile Estimation | stat.ME | Comment: Monitoring Networked Applications With Incremental Quantile
Estimation [arXiv:0708.0302] | statistics |
10,922 | Comment: Monitoring Networked Applications With Incremental Quantile Estimation | stat.ME | Our comments are in two parts. First, we make some observations regarding the
methodology in Chambers et al. [arXiv:0708.0302]. Second, we briefly describe
another interesting network monitoring problem that arises in the context of
assessing quality of service, such as loss rates and delay distributions, in
packet-swi... | statistics |
10,923 | Comment: Monitoring Networked Applications With Incremental Quantile Estimation | stat.ME | Comment: Monitoring Networked Applications With Incremental Quantile
Estimation [arXiv:0708.0302] | statistics |
10,924 | Rejoinder: Monitoring Networked Applications With Incremental Quantile Estimation | stat.ME | Rejoinder: Monitoring Networked Applications With Incremental Quantile
Estimation [arXiv:0708.0302] | statistics |
10,925 | Dynamic Modeling and Statistical Analysis of Event Times | stat.ME | This review article provides an overview of recent work in the modeling and
analysis of recurrent events arising in engineering, reliability, public
health, biomedicine and other areas. Recurrent event modeling possesses unique
facets making it different and more difficult to handle than single event
settings. For inst... | statistics |
10,926 | Threshold Regression for Survival Analysis: Modeling Event Times by a Stochastic Process Reaching a Boundary | stat.ME | Many researchers have investigated first hitting times as models for survival
data. First hitting times arise naturally in many types of stochastic
processes, ranging from Wiener processes to Markov chains. In a survival
context, the state of the underlying process represents the strength of an item
or the health of an... | statistics |
10,927 | Advances in Data Combination, Analysis and Collection for System Reliability Assessment | stat.ME | The systems that statisticians are asked to assess, such as nuclear weapons,
infrastructure networks, supercomputer codes and munitions, have become
increasingly complex. It is often costly to conduct full system tests. As such,
we present a review of methodology that has been proposed for addressing system
reliability... | statistics |
10,928 | On the Statistical Modeling and Analysis of Repairable Systems | stat.ME | We review basic modeling approaches for failure and maintenance data from
repairable systems. In particular we consider imperfect repair models, defined
in terms of virtual age processes, and the trend-renewal process which extends
the nonhomogeneous Poisson process and the renewal process. In the case where
several sy... | statistics |
10,929 | A Review of Accelerated Test Models | stat.ME | Engineers in the manufacturing industries have used accelerated test (AT)
experiments for many decades. The purpose of AT experiments is to acquire
reliability information quickly. Test units of a material, component, subsystem
or entire systems are subjected to higher-than-usual levels of one or more
accelerating vari... | statistics |
10,930 | A Conversation With Harry Martz | stat.ME | Harry F. Martz was born June 16, 1942 and grew up in Cumberland, Maryland. He
received a Bachelor of Science degree in mathematics (with a minor in physics)
from Frostburg State University in 1964, and earned a Ph.D. in statistics at
Virginia Polytechnic Institute and State University in 1968. He started his
statistics... | statistics |
10,931 | A flexible Bayesian generalized linear model for dichotomous response data with an application to text categorization | stat.ME | We present a class of sparse generalized linear models that include probit
and logistic regression as special cases and offer some extra flexibility. We
provide an EM algorithm for learning the parameters of these models from data.
We apply our method in text classification and in simulated data and show that
our metho... | statistics |
10,932 | Estimating the proportion of differentially expressed genes in comparative DNA microarray experiments | stat.ME | DNA microarray experiments, a well-established experimental technique, aim at
understanding the function of genes in some biological processes. One of the
most common experiments in functional genomics research is to compare two
groups of microarray data to determine which genes are differentially
expressed. In this pa... | statistics |
10,933 | Empirical Bayes methods for controlling the false discovery rate with dependent data | stat.ME | False discovery rate (FDR) has been widely used as an error measure in large
scale multiple testing problems, but most research in the area has been focused
on procedures for controlling the FDR based on independent test statistics or
the properties of such procedures for test statistics with certain types of
stochasti... | statistics |
10,934 | A smoothing model for sample disclosure risk estimation | stat.ME | When a sample frequency table is published, disclosure risk arises when some
individuals can be identified on the basis of their values in certain
attributes in the table called key variables, and then their values in other
attributes may be inferred, and their privacy is violated. On the basis of the
sample to be rele... | statistics |
10,935 | A comparison of the accuracy of saddlepoint conditional cumulative distribution function approximations | stat.ME | Consider a model parameterized by a scalar parameter of interest and a
nuisance parameter vector. Inference about the parameter of interest may be
based on the signed root of the likelihood ratio statistic R. The standard
normal approximation to the conditional distribution of R typically has error
of order O(n^{-1/2})... | statistics |
10,936 | Statistical inverse problems in active network tomography | stat.ME | The analysis of computer and communication networks gives rise to some
interesting inverse problems. This paper is concerned with active network
tomography where the goal is to recover information about quality-of-service
(QoS) parameters at the link level from aggregate data measured on end-to-end
network paths. The e... | statistics |
10,937 | Using data network metrics, graphics, and topology to explore network characteristics | stat.ME | Yehuda Vardi introduced the term network tomography and was the first to
propose and study how statistical inverse methods could be adapted to attack
important network problems (Vardi, 1996). More recently, in one of his final
papers, Vardi proposed notions of metrics on networks to define and measure
distances between... | statistics |
10,938 | Functional analysis via extensions of the band depth | stat.ME | The notion of data depth has long been in use to obtain robust location and
scale estimates in a multivariate setting. The depth of an observation is a
measure of its centrality, with respect to a data set or a distribution. The
data depths of a set of multivariate observations translates to a
center-outward ordering o... | statistics |
10,939 | Sparse inverse covariance estimation with the lasso | stat.ME | We consider the problem of estimating sparse graphs by a lasso penalty
applied to the inverse covariance matrix. Using a coordinate descent procedure
for the lasso, we develop a simple algorithm that is remarkably fast: in the
worst cases, it solves a 1000 node problem (~500,000 parameters) in about a
minute, and is 50... | statistics |
10,940 | Fisher Lecture: Dimension Reduction in Regression | stat.ME | Beginning with a discussion of R. A. Fisher's early written remarks that
relate to dimension reduction, this article revisits principal components as a
reductive method in regression, develops several model-based extensions and
ends with descriptions of general approaches to model-based and model-free
dimension reducti... | statistics |
10,941 | Comment: Fisher Lecture: Dimension Reduction in Regression | stat.ME | Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774] | statistics |
10,942 | Comment: Fisher Lecture: Dimension Reduction in Regression | stat.ME | Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774] | statistics |
10,943 | Comment: Fisher Lecture: Dimension Reduction in Regression | stat.ME | Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774] | statistics |
10,944 | Rejoinder: Fisher Lecture: Dimension Reduction in Regression | stat.ME | Rejoinder: Fisher Lecture: Dimension Reduction in Regression
[arXiv:0708.3774] | statistics |
10,945 | Embedding Population Dynamics Models in Inference | stat.ME | Increasing pressures on the environment are generating an ever-increasing
need to manage animal and plant populations sustainably, and to protect and
rebuild endangered populations. Effective management requires reliable
mathematical models, so that the effects of management action can be predicted,
and the uncertainty... | statistics |
10,946 | A General Framework for the Parametrization of Hierarchical Models | stat.ME | In this paper, we describe centering and noncentering methodology as
complementary techniques for use in parametrization of broad classes of
hierarchical models, with a view to the construction of effective MCMC
algorithms for exploring posterior distributions from these models. We give a
clear qualitative understandin... | statistics |
10,947 | Chess, Chance and Conspiracy | stat.ME | Chess and chance are seemingly strange bedfellows. Luck and/or randomness
have no apparent role in move selection when the game is played at the highest
levels. However, when competition is at the ultimate level, that of the World
Chess Championship (WCC), chess and conspiracy are not strange bedfellows,
there being a ... | statistics |
10,948 | Maty's Biography of Abraham De Moivre, Translated, Annotated and Augmented | stat.ME | November 27, 2004, marked the 250th anniversary of the death of Abraham De
Moivre, best known in statistical circles for his famous large-sample
approximation to the binomial distribution, whose generalization is now
referred to as the Central Limit Theorem. De Moivre was one of the great
pioneers of classical probabil... | statistics |
10,949 | A Conversation with Robert V. Hogg | stat.ME | Robert Vincent Hogg was born on November 8, 1924 in Hannibal, Missouri. He
earned a Ph.D. in statistics at the University of Iowa in 1950, where his
advisor was Allen Craig. Following graduation, he joined the mathematics
faculty at the University of Iowa. He was the founding Chair when the
Department of Statistics was... | statistics |
10,950 | Full Bayesian analysis for a class of jump-diffusion models | stat.ME | A new Bayesian significance test is adjusted for jump detection in a
diffusion process. This is an advantageous procedure for temporal data having
extreme valued outliers, like financial data, pluvial or tectonic forces
records and others. | statistics |
10,951 | A new method for the estimation of variance matrix with prescribed zeros in nonlinear mixed effects models | stat.ME | We propose a new method for the Maximum Likelihood Estimator (MLE) of
nonlinear mixed effects models when the variance matrix of Gaussian random
effects has a prescribed pattern of zeros (PPZ). The method consists in
coupling the recently developed Iterative Conditional Fitting (ICF) algorithm
with the Expectation Maxi... | statistics |
10,952 | Networks of Polynomial Pieces with Application to the Analysis of Point Clouds and Images | stat.ME | We consider Holder smoothness classes of surfaces for which we construct
piecewise polynomial approximation networks, which are graphs with polynomial
pieces as nodes and edges between polynomial pieces that are in `good
continuation' of each other. Little known to the community, a similar
construction was used by Kolm... | statistics |
10,953 | Bandwidth Selection for Weighted Kernel Density Estimation | stat.ME | In the this paper, the authors propose to estimate the density of a targeted
population with a weighted kernel density estimator (wKDE) based on a weighted
sample. Bandwidth selection for wKDE is discussed. Three mean integrated
squared error based bandwidth estimators are introduced and their performance
is illustrate... | statistics |
10,954 | Algebraic causality: Bayes nets and beyond | stat.ME | The relationship between algebraic geometry and the inferential framework of
the Bayesian Networks with hidden variables has now been fruitfully explored
and exploited by a number of authors. More recently the algebraic formulation
of Causal Bayesian Networks has also been investigated in this context. After
reviewing ... | statistics |
10,955 | The causal manipulation of chain event graphs | stat.ME | Discrete Bayesian Networks have been very successful as a framework both for
inference and for expressing certain causal hypotheses. In this paper we
present a class of graphical models called the chain event graph (CEG) models,
that generalises the class of discrete BN models. It provides a flexible and
expressive fra... | statistics |
10,956 | Locally Adaptive Nonparametric Binary Regression | stat.ME | A nonparametric and locally adaptive Bayesian estimator is proposed for
estimating a binary regression. Flexibility is obtained by modeling the binary
regression as a mixture of probit regressions with the argument of each probit
regression having a thin plate spline prior with its own smoothing parameter
and with the ... | statistics |
10,957 | 1953: An unrecognized summit in human genetic linkage analysis | stat.ME | This paper summarizes and discusses the methodological research in human
genetic linkage analysis, leading up to and following from the paper of C. A.
B. Smith presented as a Royal Statistical Society discussion paper in 1953.
This paper was given as the Fisher XXVII Memorial Lecture, in Cambridge,
December 4, 2006. | statistics |
10,958 | Estimating copula measure using ranks and subsampling: a simulation study | stat.ME | We describe here a new method to estimate copula measure. From N observations
of two variables X and Y, we draw a huge number m of subsamples (size n<N), and
we compute the joint ranks in these subsamples. Then, for each bivariate rank
(p,q) (0<p,q<n+1), we count the number of subsamples such that there exist an
observ... | statistics |
10,959 | Markov basis for design of experiments with three-level factors | stat.ME | We consider Markov basis arising from fractional factorial designs with
three-level factors. Once we have a Markov basis, $p$ values for various
conditional tests are estimated by the Markov chain Monte Carlo procedure. For
designed experiments with a single count observation for each run, we formulate
a generalized li... | statistics |
10,960 | Computation of expansions for the maximum likelihood estimator and its distribution function | stat.ME | In this paper, insight is given in the techniques used to compute asymptotic
expansions. In a broad fashion the technique is described. Most of the results
apply to the paper "An expansion for the maximum likelihood estimator and its
distribution function", which will be submitted. | statistics |
10,961 | Causality and Association: The Statistical and Legal Approaches | stat.ME | This paper discusses different needs and approaches to establishing
``causation'' that are relevant in legal cases involving statistical input
based on epidemiological (or more generally observational or population-based)
information. We distinguish between three versions of ``cause'': the first
involves negligence in ... | statistics |
10,962 | A Family of Generalized Beta Distributions for Income | stat.ME | The mathematical properties of a family of generalized beta distribution,
including beta-normal, skewed-t, log-F, beta-exponential, beta-Weibull
distributions have recently been studied in several publications. This paper
applies these distributions to the modeling of the size distribution of income
and computes the ma... | statistics |
10,963 | The Use of Unlabeled Data in Predictive Modeling | stat.ME | The incorporation of unlabeled data in regression and classification analysis
is an increasing focus of the applied statistics and machine learning
literatures, with a number of recent examples demonstrating the potential for
unlabeled data to contribute to improved predictive accuracy. The statistical
basis for this s... | statistics |
10,964 | Statistical and Clinical Aspects of Hospital Outcomes Profiling | stat.ME | Hospital profiling involves a comparison of a health care provider's
structure, processes of care, or outcomes to a standard, often in the form of a
report card. Given the ubiquity of report cards and similar consumer ratings in
contemporary American culture, it is notable that these are a relatively recent
phenomenon ... | statistics |
10,965 | A Conversation with Shoutir Kishore Chatterjee | stat.ME | Shoutir Kishore Chatterjee was born in Ranchi, a small hill station in India,
on November 6, 1934. He received his B.Sc. in statistics from the Presidency
College, Calcutta, in 1954, and M.Sc. and Ph.D. degrees in statistics from the
University of Calcutta in 1956 and 1962, respectively. He was appointed a
lecturer in ... | statistics |
10,966 | A Conversation with Dorothy Gilford | stat.ME | In 1946, Public Law 588 of the 79th Congress established the Office of Naval
Research (ONR). Its mission was to plan, foster and encourage scientific
research in support of Naval problems. The establishment of ONR predates the
National Science Foundation and initiated the refocusing of scientific
infrastructure in the ... | statistics |
10,967 | Struggles with Survey Weighting and Regression Modeling | stat.ME | The general principles of Bayesian data analysis imply that models for survey
responses should be constructed conditional on all variables that affect the
probability of inclusion and nonresponse, which are also the variables used in
survey weighting and clustering. However, such models can quickly become very
complica... | statistics |
10,968 | Comment: Struggles with Survey Weighting and Regression Modeling | stat.ME | Comment: Struggles with Survey Weighting and Regression Modeling
[arXiv:0710.5005] | statistics |
10,969 | Comment: Struggles with Survey Weighting and Regression Modeling | stat.ME | Comment: Struggles with Survey Weighting and Regression Modeling
[arXiv:0710.5005] | statistics |
10,970 | Comment: Struggles with Survey Weighting and Regression Modeling | stat.ME | Comment: Struggles with Survey Weighting and Regression Modeling
[arXiv:0710.5005] | statistics |
10,971 | Comment: Struggles with Survey Weighting and Regression Modeling | stat.ME | Comment: Struggles with Survey Weighting and Regression Modeling
[arXiv:0710.5005] | statistics |
10,972 | Comment: Struggles with Survey Weighting and Regression Modeling | stat.ME | Comment: Struggles with Survey Weighting and Regression Modeling
[arXiv:0710.5005] | statistics |
10,973 | Rejoinder: Struggles with Survey Weighting and Regression Modeling | stat.ME | Rejoinder: Struggles with Survey Weighting and Regression Modeling
[arXiv:0710.5005] | statistics |
10,974 | The William Kruskal Legacy: 1919--2005 | stat.ME | William Kruskal (Bill) was a distinguished statistician who spent virtually
his entire professional career at the University of Chicago, and who had a
lasting impact on the Institute of Mathematical Statistics and on the field of
statistics more broadly, as well as on many who came in contact with him. Bill
passed away... | statistics |
10,975 | A Tribute to Bill Kruskal | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,976 | William H. Kruskal and the Development of Coordinate-Free Methods | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,977 | William Kruskal: My Scholarly and Scientific Model | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,978 | Working with Bill Kruskal: From 1950 Onward | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,979 | Bill Kruskal and the Committee on National Statistics | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,980 | William Kruskal Remembered | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,981 | William H. Kruskal, Mentor and Friend | stat.ME | Discussion of ``The William Kruskal Legacy: 1919--2005'' by Stephen E.
Fienberg, Stephen M. Stigler and Judith M. Tanur [arXiv:0710.5063] | statistics |
10,982 | Parameter Estimation for Partially Observed Hypoelliptic Diffusions | stat.ME | Hypoelliptic diffusion processes can be used to model a variety of phenomena
in applications ranging from molecular dynamics to audio signal analysis. We
study parameter estimation for such processes in situations where we observe
some components of the solution at discrete times. Since exact likelihoods for
the transi... | statistics |
10,983 | Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling | stat.ME | We consider inference procedures, conditional on an observed ancillary
statistic, for regression coefficients under a linear regression setup where
the unknown error distribution is specified nonparametrically. We establish
conditional asymptotic normality of the regression coefficient estimators under
regularity condi... | statistics |
10,984 | 2-level fractional factorial designs which are the union of non trivial regular designs | stat.ME | Every fraction is a union of points, which are trivial regular fractions. To
characterize non trivial decomposition, we derive a condition for the inclusion
of a regular fraction as follows. Let $F = \sum_\alpha b_\alpha X^\alpha$ be
the indicator polynomial of a generic fraction, see Fontana et al, JSPI 2000,
149-172.... | statistics |
10,985 | Modeling homophily and stochastic equivalence in symmetric relational data | stat.ME | This article discusses a latent variable model for inference and prediction
of symmetric relational data.
The model, based on the idea of the eigenvalue decomposition, represents the
relationship between two nodes as the weighted inner-product of node-specific
vectors of latent characteristics. This ``eigenmodel'' ge... | statistics |
10,986 | Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition | stat.ME | Measures of linear dependence (coherence) and nonlinear dependence (phase
synchronization) between any number of multivariate time series are defined.
The measures are expressed as the sum of lagged dependence and instantaneous
dependence. The measures are non-negative, and take the value zero only when
there is indepe... | statistics |
10,987 | The Residual Information Criterion, Corrected | stat.ME | Shi and Tsai (JRSSB, 2002) proposed an interesting residual information
criterion (RIC) for model selection in regression. Their RIC was motivated by
the principle of minimizing the Kullback-Leibler discrepancy between the
residual likelihoods of the true and candidate model. We show, however, under
this principle, RIC... | statistics |
10,988 | Bootstrap Confidence Regions for Optimal Operating Conditions in Response Surface Methodology | stat.ME | This article concerns the application of bootstrap methodology to construct a
likelihood-based confidence region for operating conditions associated with the
maximum of a response surface constrained to a specified region. Unlike
classical methods based on the stationary point, proper interpretation of this
confidence ... | statistics |
10,989 | Robust model selection in generalized linear models | stat.ME | In this paper, we extend to generalized linear models (including logistic and
other binary regression models, Poisson regression and gamma regression models)
the robust model selection methodology developed by Mueller and Welsh (2005;
JASA) for linear regression models. As in Mueller and Welsh (2005), we combine
a robu... | statistics |
10,990 | An Integral Measure of Aging/Rejuvenation for Repairable and Non-repairable Systems | stat.ME | This paper introduces a simple index that helps to assess the degree of aging
or rejuvenation of a (non)repairable system. The index ranges from -1 to 1 and
is negative for the class of decreasing failure rate distributions (or
deteriorating point processes) and is positive for the increasing failure rate
distributions... | statistics |
10,991 | Confidence intervals in regression utilizing prior information | stat.ME | We consider a linear regression model with regression parameter
beta=(beta_1,...,beta_p) and independent and identically N(0,sigma^2)
distributed errors. Suppose that the parameter of interest is theta = a^T beta
where a is a specified vector. Define the parameter tau=c^T beta-t where the
vector c and the number t are ... | statistics |
10,992 | Computer model validation with functional output | stat.ME | A key question in evaluation of computer models is Does the computer model
adequately represent reality? A six-step process for computer model validation
is set out in Bayarri et al. [Technometrics 49 (2007) 138--154] (and briefly
summarized below), based on comparison of computer model runs with field data
of the proc... | statistics |
10,993 | Bayesian Shrinkage Variable Selection | stat.ME | Withdrawn due to extensions and submission as another paper. | statistics |
10,994 | Periodic Chandrasekhar recursions | stat.ME | This paper extends the Chandrasekhar-type recursions due to Morf, Sidhu, and
Kailath "Some new algorithms for recursive estimation in constant, linear,
discrete-time systems, IEEE Trans. Autom. Control 19 (1974) 315-323" to the
case of periodic time-varying state-space models. We show that the S-lagged
increments of th... | statistics |
10,995 | Auxiliary Information and A Priori Values in Construction of Improved Estimators | stat.ME | This volume is a collection of six papers on the use of auxiliary information
and 'a priori' values in construction of improved estimators. The work included
here will be of immense application for researchers and students who emply
auxiliary information in any form. | statistics |
10,996 | Wavelet methods in statistics: Some recent developments and their applications | stat.ME | The development of wavelet theory has in recent years spawned applications in
signal processing, in fast algorithms for integral transforms, and in image and
function representation methods. This last application has stimulated interest
in wavelet applications to statistics and to the analysis of experimental data,
wit... | statistics |
10,997 | Stochastic adaptation of importance sampler | stat.ME | Improving efficiency of importance sampler is at the center of research in
Monte Carlo methods. While adaptive approach is usually difficult within the
Markov Chain Monte Carlo framework, the counterpart in importance sampling can
be justified and validated easily. We propose an iterative adaptation method
for learning... | statistics |
10,998 | Approximating Data with weighted smoothing Splines | stat.ME | Given a data set (t_i, y_i), i=1,..., n with the t_i in [0,1] non-parametric
regression is concerned with the problem of specifying a suitable function
f_n:[0,1] -> R such that the data can be reasonably approximated by the points
(t_i, f_n(t_i)), i=1,..., n. If a data set exhibits large variations in local
behaviour, ... | statistics |
10,999 | Analysis of nonlinear modes of variation for functional data | stat.ME | A set of curves or images of similar shape is an increasingly common
functional data set collected in the sciences. Principal Component Analysis
(PCA) is the most widely used technique to decompose variation in functional
data. However, the linear modes of variation found by PCA are not always
interpretable by the expe... | statistics |
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