Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with "Censoring" Due to Death

Causal inference using the algorithmic Markov condition

Causality and Statistical Learning

Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference

Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context

Central limit theorem of nonparametric estimate of spectral density functions of sample covariance matrices

Central Limit Theorems for arrays of decimated linear processes

Central limit theorems for local empirical processes near boundaries of sets

Central limit theorems for smoothed extreme value estimates of Poisson point processes boundaries

Central limit theorems in linear structural error-in-variables models with explanatory variables in the domain of attraction of the normal law

Central matricvariate and matrix multivariate T distributions

Challenging the empirical mean and empirical variance: a deviation study

Change detection in INAR(p) processes against various alternative hypotheses

Change point analysis of an exponential model based on Phi-divergence test-statistics: simulated critical points case

Change point estimation for the telegraph process observed at discrete times

Change-point estimation under adaptive sampling

Change-point in stochastic design regression and the bootstrap

Characterization of Bayes procedures for multiple endpoint problems and inadmissibility of the step-up procedure

Characterization of count data distributions involving additivity and binomial subsampling

Characterizations of joint distributions, copulas, information, dependence and decoupling, with applications to time series