Context Tree Selection: A Unifying View

Continuity and differentiability of regression M-estimates

Continuous mapping approach to the asymptotics of U- and V-statistics

Contour projected dimension reduction

Contour regression: A general approach to dimension reduction

Contrasting Probabilistic Scoring Rules

Contribution to the Nonparametric Estimation of the Density of the Regression Errors (Doctoral Thesis)

Control of Dams When the Input Is a Levy Type Process

Control of generalized error rates in multiple testing

Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes

Convergence analysis of the Gibbs sampler for Bayesian general linear mixed models with improper priors

Convergence and performances of the peeling wavelet denoising algorithm

Convergence of a Particle-based Approximation of the Block Online Expectation Maximization Algorithm

Convergence of adaptive and interacting Markov chain Monte Carlo algorithms

Convergence of adaptive mixtures of importance sampling schemes

Convergence of distributed asynchronous learning vector quantization algorithms

Convergence of Estimators in LLS Analysis

Convergence of latent mixing measures in nonparametric and mixture models

Convergence of Nonparametric Functional Regression Estimates with Functional Responses

Convergence rate for predictive recursion estimation of finite mixtures