Adjusted Viterbi training

Adjusted Viterbi training for hidden Markov models

Adjusting for selection bias in testing multiple families of hypotheses

Admissibility and minimaxity of generalized Bayes estimators for spherically symmetric family

Admissibility of the usual confidence interval in linear regression

Admissible Estimator of the Eigenvalues of Variance-Covariance Matrix for Multivariate Normal Distributions--Detailed Proof--

Admissible predictive density estimation

Advances on nonparametric regression for functional variables

Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions

Aggregation by exponential weighting, sharp oracle inequalities and sparsity

Aggregation for Gaussian regression

Aggregation for Regression Learning

Aggregation functions for decision making

Aggregation of autoregressive processes and long memory

Aggregation of isotropic autoregressive fields

Aggregation of Nonparametric Estimators for Volatility Matrix

Aggregation of penalized empirical risk minimizers in regression

Algebraic Bayesian analysis of contingency tables with possibly zero-probability cells

Algebraic Characterizations of Consensus Problems for Networked Dynamic Systems

Algebraic Factor Analysis: Tetrads, Pentads and Beyond