Autoregressive Process Modeling via the Lasso Procedure

Auxiliary results for "Nonparametric kernel estimation of the probability density function of regression errors using estimated residuals"

Average Collapsibility of Some Association Measures

Average treatment effect estimation via random recursive partitioning

Backfitting and smooth backfitting for additive quantile models

Bahadur Representation for U-Quantiles of Dependent Data

Bahadur representation of sample quantiles for functional of Gaussian dependent sequences under a minimal assumption

Bahadur--Kiefer theory for sample quantiles of weakly dependent linear processes

Baker- Lin-Huang type Bivariate distributions based on order statistics

Balls in Boxes: Variations on a Theme of Warren Ewens and Herbert Wilf

Bandlet Image Estimation with Model Selection

Bandwidth choice for nonparametric classification

Bandwidth selection for smooth backfitting in additive models

Bandwidth selection in kernel density estimation: oracle inequalities and adaptive minimax optimality

Batch and median neural gas

Batch means and spectral variance estimators in Markov chain Monte Carlo

Bayes and empirical Bayes: do they merge?

Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

Bayes factors and the geometry of discrete hierarchical loglinear models

Bayes Multiple Decision Functions