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A pseudo empirical likelihood approach for stratified samples with nonresponse
Pseudo empirical likelihood response mechanism bootstrap imputation
2010/3/18
Nonresponse is common in surveys. When the response probability
of a survey variable Y depends on Y through an observed
auxiliary categorical variable Z (i.e., the response probability of Y is
cond...
A new approach to Cholesky-based covariance regularization in high dimensions
new approach Cholesky-based covariance regularization high dimensions
2010/3/18
In this paper we propose a new regression interpretation of the Cholesky factor of the covariance matrix, as opposed to the well known regression interpretation of the Cholesky factor of the inverse c...
INFERRING GENE DEPENDENCY NETWORKS FROM GENOMIC LONGITUDINAL DATA:A FUNCTIONAL DATA APPROACH
graphical model longitudinal data dynamical correlation gene dependency networks
2009/2/25
A key aim of systems biology is to unravel the regulatory interactions among genes
and gene products in a cell. Here we investigate a graphical model that treats the
observed gene expression over ti...
Asymptotic study of canonical correlation analysis:from matrix and analytic approach to operator and tensor approach
multivariate analysis canonical correlation analysis asymptotic study operator coordinatefree distribution-free
2009/2/23
Asymptotic study of canonical correlation analysis gives the opportunity to present the different steps of an asymptotic study and to show the interest of an operator and tensor approach of multidimen...
Incorporating patients’ characteristics in cost-effectiveness studies with clinical trial data:a flexible Bayesian approach
Bayesian analysis cost-effectiveness Markov Chain Monte Carlo (MCMC) skewed cost distributions
2009/2/23
Most published research on the comparison between medical treatment options merely compares the
results (effectiveness and cost) obtained for each treatment group. The present work proposes the incor...
The M-G-1 retrial queue:An information theoretic approach
Principle of maximum entropy M-G-1 retrial queue limiting distribution busy period waiting time
2009/2/23
In this paper, we give a survey of the use of information theoretic techniques for the estimation of the main performance characteristics of the M/G/1 retrial queue. We focus on the limiting distribut...
Finite sample approximation results for principal component analysis:a matrix perturbation approach
Principal component analysis spiked covariance model randommatrix theory matrix perturbation phase transition
2010/3/17
Principal component analysis (PCA) is a standard tool for dimensional
reduction of a set of n observations (samples), each with
p variables. In this paper, using a matrix perturbation approach, we
...
Decision Approach and Empirical Bayes FCR-Controlling Interval for Mixed Prior Model
Decision Bayes Loss Function Simultaneous Intervals
2010/3/17
In this paper, I apply the decision theory and empirical Bayesian
approach to construct confidence intervals for selected populations when
true parameters follow a mixture prior distribution. A loss...
A new concept of mutual pressure is introduced for potential functions on both
continuous and discrete compound spaces via discrete micro-states of permutations, and its
relations with the usual pre...
A Bayesian approach to the estimation of maps between riemannian manifolds
Bayesian problems Bayes estimators Minimax estimators riemannian geometry sub-riemannian geometry
2010/4/29
Let γ be a smooth compact oriented manifold without boundary,
imbedded in a euclidean space Es, and let γ be a smooth map of into
a Riemannian manifold . An unknown state θ 2 is observed via X...
On multidimensional item response theory——a coordinate free approach
geometric methods statistical modeling
2010/4/30
A coordinate system free definition of complex structure multidimensional
item response theory (MIRT) for dichotomously scored items
is presented. The point of view taken emphasizes the possibilitie...
SiZer for time series:A new approach to the analysis of trends
Autocovariance function estimation Local linearfit Scale-space method Sizer Time series
2010/4/29
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 literatu...
Multiple pattern matching:A Markov chain approach
Multiple pattern matching Markov chain approach
2010/4/28
RNA motifs typically consist of short, modular patterns that include base pairs formed
within and between modules. Estimating the abundance of these patterns is of fundamental
importance for assessi...
A new expression as a certain asymptotic limit via “discrete microstates”
of permutations is provided to the mutual information of both continuous
and discrete random variables.
Case-Control Survival Analysis with a General Semiparametric Shared Frailty Model——a Pseudo Full Likelihood Approach
Case-control study Correlated failure times Family study Frailty model Multivariatesurvival model
2010/4/27
In this work we deal with correlated failure time (age at onset) data arising from populationbased case-control studies, where case and control probands are selected by populationbased sampling and an...