Math-St
Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning
A framework for list representation, enabling list stabilization through incorporation of gene exchangeabilities
On the generic uniform uniqueness of the LASSO estimator
Scalable Bayesian reduced-order models for high-dimensional multiscale dynamical systems
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Toward Fast Reliable Communication at Rates Near Capacity with Gaussian Noise
BSA - exact algorithm computing LTS estimate
Fundamental Rate-Reliability-Complexity Limits in Outage Limited MIMO Communications
Non-Gaussian Quasi Maximum Likelihood Estimation of GARCH Models
Slicing: Nonsingular Estimation of High Dimensional Covariance Matrices Using Multiway Kronecker Delta Covariance Structures
Blind Minimax Estimation
A statistical theory for the measurement and estimation of Rayleigh fading channel
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
