Adaptive thresholding estimation of a Poisson intensity with infinite support

Adaptive variance function estimation in heteroscedastic nonparametric regression

Adaptive wavelet based estimator of the memory parameter for stationary Gaussian processes

Adaptive wavelet estimation of a compound Poisson process

Adaptive wavelet estimation of the diffusion coefficient under additive error measurements

Adaptivity in convolution models with partially known noise distribution

Addendum to the discussion of "Breakdown and groups"

Additive isotone regression

Additive Regression Model for Continuous Time Processes

Adjusted empirical likelihood with high-order precision

Adjusted likelihood inference in an elliptical multivariate errors-in-variables model

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