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Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties
Mixing Coefficients Between Discrete Real Random Variables Computation Properties
2012/9/17
In this paper we study the problem of estimating the mixing coefficients between two random vari-ables. Three different mixing coefficients are studied,namely alpha-mixing, beta-mixing and phi-mixing ...
Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data
association clustered binary data generalized estimating equation logistic regression variable selection
2012/9/17
This paper investigates the property of the penalized estimating equations when both the mean and association structures are modelled. To select variables for the mean and association structures seque...
Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo Sampling
Guaranteed Conservative Fixed Width Confidence Intervals Monte Carlo Sampling
2012/9/17
Monte Carlo methods are used to approximate the means,? of random variablesY, whose distributions are not known explicitly. The key idea is that the
average of a random sample,Y1,...,Yn, tends to 礱sn...
Composite likelihood estimation of sparse Gaussian graphical models with symmetry
Variable selection model selection penalized estimation Gaussian graphical model concentration matrix partial correlation matrix
2012/9/17
In this article, we discuss the composite likelihood estimation of sparse Gaussian graph-ical models. When there are symmetry constraints on the concentration matrix or partial correlation matrix, the...
cmine, minerva & minepy: a C engine for the MINE suite and its R and Python wrappers
cmine minerva minepy C engine the MINE suite its R Python wrappers
2012/9/17
Summary:We introduce cmine, a novel implementation in ANSI C of the MINE family of algorithms for computing maximal information-based measures of dependence between two variables in large datasets. We...
Learning LiNGAM based on data with more variables than observations
LiNGAM based variables observations
2012/9/17
A very important topic in systems biology is developing statistical methods that automatically find causal relations in gene regulatory net-works with no prior knowledge of causal connectivity. Many m...
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Integrated analysis of variants pathways genome-wide association studies polygenic models of disease
2012/9/18
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on suscep-tibility to disease. These small effects are difficult to map reliably in genetic as...
A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities
A Unified Approach for Modeling Recognition of Individual Actions Group Activities
2012/9/18
Recognizing group activities is challenging due to the di-culties in isolating individual entities, nding the respective roles played by the individuals and representing the complex interactions amo...
Reverse Engineering Gene Interaction Networks Using the Phi-Mixing Coefficient
Reverse Engineering Gene Interaction Networks Phi-Mixing Coefficient
2012/9/18
In this paper, we present a new algorithm for reverse-engineering gene interaction networks (GINs) from expression data, by viewing the expres-sion levels of various genes as coupled random variables....
Discriminative Sparse Coding on Multi-Manifold for Data Representation and Classification
Discriminative Sparse Coding Multi-Manifold for Data Representation Classification
2012/9/18
Sparse coding has been popularly used as an effective data represen-tation method in various applications, such as computer vision, medical imaging and bioinformatics, etc. However, the conventional s...
Inverse Modeling of Dynamical Systems: Multi-Dimensional Extensions of a Stochastic Switching Problem
Inverse Modeling of Dynamical Systems Multi-Dimensional Extensions Stochastic Switching Problem
2012/9/18
The Buridan's ass paradox is characterized by perpetual indecision between two states, which are never attained. When this problem is formulated as a dynamical
system, indecision is modeled by a disc...
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
Markov Chain Monte Carlo Hamiltonian Monte Carlo Truncated Multivariate Gaus-sians
2012/9/17
We present a Hamiltonian Monte Carlo algorithm to sample from multivariate Gaussian distri-butions in which the target space is constrained by linear and quadratic inequalities or products thereof. Th...
Asymptotics for penalized splines in generalized additive models
Asymptotic normality B-spline Generalized additive model Mixed model Pe-nalized spline
2012/9/17
This paper discusses asymptotic theory for penalized spline estimators in generalized additive models. The purpose of this paper is to establish the asymptotic bias and variance as well as the asympto...
We prove Bernstein – von Mises theorems for nonparametric Bayes priors in the Gaussian white noise model. We demonstrate how such results justify Bayes methods as efficient frequentist inference proce...
Joint-ViVo: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification in Medical Images
Computer-Aided Diagnosis Tissue Classification Bag-of-Features Visual Vocabulary Visual Word Weighting
2012/9/18
Automatically classifying the tissues types of Region of Interest (ROI) in med-ical imaging has been an important application in Computer-Aided Diagno-sis (CAD), such as classification of breast paren...