Near optimal thresholding estimation of a Poisson intensity on the real line

Near-ideal model selection by $\ell_1$ minimization

Near-minimax recursive density estimation on the binary hypercube

Nearly Minimax One-Sided Mixture-Based Sequential Tests

Nearly Optimal Change-Point Detection with an Application to Cybersecurity

Nearly unbiased variable selection under minimax concave penalty

Necessary and sufficient condition for the existence of a Fréchet mean on the circle

Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences

Needlet algorithms for estimation in inverse problems

Needlet-Whittle Estimates on the Unit Sphere

Negative Examples for Sequential Importance Sampling of Binary Contingency Tables

Negative Surveys

Nemirovski's Inequalities Revisited

Network Kriging

Network-Based Marketing: Identifying Likely Adopters via Consumer Networks

New $M$-estimators in semi-parametric regression with errors in variables

New approaches to Bayesian consistency

New consistent and asymptotically normal estimators for random graph mixture models

New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models

New Entropy Estimator with an Application to Test of Normality