Bridging MCMC and Optimization

Statistical network modeling via exchangeable interaction processes

Statistical Inference for Cataloging the Visible Universe

Statistical Methods to Uncover Hidden Information from Large-scale Genomic Data

Mean estimation for entangled single-sample distributions

Tensor models for large, complex and high dimensional data

Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses

Bayesian Inference Using the EMM Objective Function With Application to the Dominant Generalized Blumenthal-Getoor Index of an Ito Semimartingale

Standard errors for regression on relational data with exchangeable errors

Risk Forms: Duality, Disintegration, and Statistical Estimation