Tools for Statistical Inference

Image Models (and their Speech Model Cousins)

Logistic Regression with Missing Values in the Covariates

Statistical Applications of Jordan Algebras

Classification, Clustering, and Data Mining Applications

Numerical Analysis for Statisticians

Maximum Penalized Likelihood Estimation

Classification in the Information Age

Advances in Bayesian Networks

Advances in Bayesian Networks

Seminar on Stochastic Analysis, Random Fields and Applications III

Statistical Modelling and Regression Structures

Information Bounds and Nonparametric Maximum Likelihood Estimation

COMPSTAT

Learning in Graphical Models

From Markov Jump Processes to Spatial Queues

Seminar on Stochastic Analysis, Random Fields and Applications III

Computing Science and Statistics

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Probability Models and Statistical Analyses for Ranking Data

Numerical Bayesian Methods Applied to Signal Processing

Image Models (and their Speech Model Cousins)

Latent Variable Modeling and Applications to Causality

Empirical Bayes and Likelihood Inference

Essays on Item Response Theory

Time Series Analysis of Irregularly Observed Data

Learning in Graphical Models

Performance Analysis and Modeling of Digital Transmission Systems

Models for Uncertainty in Educational Testing

Numerical Bayesian Methods Applied to Signal Processing

Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Multivariate Statistical Modelling Based on Generalized Linear Models

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

A First Course in Multivariate Statistics

Mathematical and Statistical Methods for Genetic Analysis