Stat-Me
An Information Geometric Framework for Dimensionality Reduction
A New Framework of Multistage Hypothesis Tests
ABC likelihood-freee methods for model choice in Gibbs random fields
A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data
Estimating Discrete Markov Models From Various Incomplete Data Schemes
Microarrays, Empirical Bayes and the Two-Groups Model
Improved estimators for a general class of beta regression models
Gibbs Sampling, Exponential Families and Orthogonal Polynomials
Reconsidering the asymptotic null distribution of likelihood ratio tests for genetic linkage in multivariate variance components models
Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains
Kernel Partial Least Squares is Universally Consistent
Directional Clustering Tests Based on Nearest Neighbor Contingency Tables
Gaussian process single-index models as emulators for computer experiments
Using survival curves for comparison of ordinal qualitative data in clinical studies
Comment: Microarrays, Empirical Bayes and the Two-Groups Model
Time-varying Coefficients Estimation in Differential Equation Models with Noisy Time-varying Covariates
Small-sample corrections for score tests in Birnbaum-Saunders regressions
Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes
Comment: Struggles with Survey Weighting and Regression Modeling
Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes
Hierarchical Bayesian Modeling of Hitting Performance in Baseball
Likelihood-based inference for max-stable processes
