Stat-Th
Parametric inference in the large data limit using maximally informative models
Learning mixtures of structured distributions over discrete domains
A Stochastic Model for Collaborative Recommendation
Risk Bounds for CART Classifiers under a Margin Condition
Up-and-Down and the Percentile-Finding Problem
Sparse Empirical Bayes Analysis (SEBA)
Causal inference in longitudinal studies with history-restricted marginal structural models
Optimal learning rates for Kernel Conjugate Gradient regression
Least squares volatility change point estimation for partially observed diffusion processes
Adaptive sampling for linear state estimation
Uniform Bahadur Representation for Local Polynomial Estimates of M-Regression and Its Application to The Additive Model
Approximation of Average Run Length of Moving Sum Algorithms Using Multivariate Probabilities
Density estimation from an individual numerical sequence
Taking Advantage of Sparsity in Multi-Task Learning
Uniform limit laws of the logarithm for nonparametric estimators of the regression function in presence of censored data
Universal Denoising of Discrete-time Continuous-Amplitude Signals
Locally most powerful sequential tests of a simple hypothesis vs one-sided alternatives
Multistage Estimation of Bounded-Variable Means
Markov Chain Order Estimation and Relative Entropy
A new method for fast computing unbiased estimators of cumulants
Nonparametric estimation for a stochastic volatility model
Solving the 100 Swiss Francs Problem
