Stat-Th
p-order rounded integer-valued autoregressive (RINAR(p)) process
Effect of indirect dependencies on "A mutual information minimization approach for a class of nonlinear recurrent separating systems"
Importance Sampling for rare events and conditioned random walks
A Geometric Approach to Confidence Sets for Ratios: Fiellers Theorem, Generalizations, and Bootstrap
Limit theorems for some adaptive MCMC algorithms with subgeometric kernels: Part II
Innovated higher criticism for detecting sparse signals in correlated noise
Online Multi-task Learning with Hard Constraints
Nonparametric Covariate Adjustment for Receiver Operating Characteristic Curves
A black box method for solving the complex exponentials approximation problem
Maximum Likelihood Estimation for Markov Chains
Information-theoretic limits of selecting binary graphical models in high dimensions
Total singular value decomposition. Robust SVD, regression and location-scale
Least Squares estimation of two ordered monotone regression curves
Gibbs Sampling for a Bayesian Hierarchical General Linear Model
Support points of locally optimal designs for nonlinear models with two parameters
Adjusted Viterbi training for hidden Markov models
Emergence and resilience of cooperation in the spatial Prisoners Dilemma via a reward mechanism
Fast rates for support vector machines using Gaussian kernels
Supervised Machine Learning with a Novel Pointwise Density Estimator
Data-driven efficient score tests for deconvolution problems
The Algebraic Complexity of Maximum Likelihood Estimation for Bivariate Missing Data
Quasi-maximum likelihood estimation of periodic GARCH processes