A Unified Approach of Parameter Estimation

A unified approach to model selection and sparse recovery using regularized least squares

A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers

A Universal Model of Commuting Networks

A universal procedure for aggregating estimators

A wavelet analysis of the Rosenblatt process: chaos expansion and estimation of the self-similarity parameter

A Wavelet Whittle estimator of the memory parameter of a non-stationary Gaussian time series

Absolute regularity and ergodicity of Poisson count processes

Accelerated convergence for nonparametric regression with coarsened predictors

Accompanying document to "Point Estimation with Exponentially Tilted Empirical Likelihood"

Accumulated prediction errors, information criteria and optimal forecasting for autoregressive time series

Accuracy guarantees for L1-recovery

Accuracy guaranties for $\ell_1$ recovery of block-sparse signals

Accuracy of the Tracy--Widom limits for the extreme eigenvalues in white Wishart matrices

Accuracy of the Tracy-Widom limit for the largest eigenvalue in white Wishart matrices

Accurate emulators for large-scale computer experiments

Adaptation to anisotropy and inhomogeneity via dyadic piecewise polynomial selection

Adapting to Unknown Smoothness by Aggregation of Thresholded Wavelet Estimators

Adapting to Unknown Sparsity by controlling the False Discovery Rate

Adaptive Allocation Theory in Clinical Trials