Semiparametric logistic regression with unknown sizes, and its application to bioassays

Semiparametric mixtures of symmetric distributions

Semiparametric Penalized Spline Regression

Semiparametric regression estimation using noisy nonlinear non invertible functions of the observations

Semiparametrically efficient inference based on signed ranks in symmetric independent component models

Semiparametrically efficient rank-based inference for shape I. optimal rank-based tests for sphericity

Separable regularization penalties and structured sparsity

Separation Theorem for Independent Subspace Analysis with Sufficient Conditions

Separation Theorem for K-Independent Subspace Analysis with Sufficient Conditions

Sequential adaptive estimators in nonparametric autoregressive models

Sequential Analysis in High Dimensional Multiple Testing and Sparse Recovery

Sequential change detection revisited

Sequential change-point detection when unknown parameters are present in the pre-change distribution

Sequential Data-Adaptive Bandwidth Selection by Cross-Validation for Nonparametric Prediction

Sequential Implementation of Monte Carlo Tests with Uniformly Bounded Resampling Risk

Sequential importance sampling for multiway tables

Sequential monitoring of response-adaptive randomized clinical trials

Sequential Monte Carlo on large binary sampling spaces

Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models

Sequential multiple hypothesis testing in presence of control variables