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Recent Faculty E-prints on arXiv

A Bayesian Model for Aggregating Rank Data with Covariates
Dingdong Yi, Xinran Li, Jun S. Liu

Parallel local approximation MCMC for expensive models
Patrick Conrad, Andrew Davis, Youssef Marzouk, Natesh Pillai, Aaron Smith

Causal Inference in Rebuilding and Extending the Recondite Bridge between Finite Population Sampling and Experimental Design
Rahul Mukerjee, Tirthankar Dasgupta, Donald B. Rubin

Coupling of Particle Filters
Pierre E. Jacob, Fredrik Lindsten, Thomas B. Schön

Parallel Markov Chain Monte Carlo via Spectral Clustering
Guillaume W. Basse, Natesh S. Pillai, Aaron Smith

On the Mixing Time of Kac's Walk and Other High-Dimensional Gibbs Samplers with Constraints
Natesh S. Pillai, Aaron Smith

More Powerful Multiple Testing in Randomized Experiments with Non-Compliance
Joseph J. Lee, Laura Forastiere, Luke Miratrix, Natesh S. Pillai

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Recent Faculty Books

Unobserved Components and Time Series Econometrics
ed. Siem Jan Koopman, Neil Shephard

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Guido Imbens, Donald Rubin

Handbook of Mixed Membership Models and Their Applications
ed. Edo Airoldi, David Blei, Elena Erosheva, Stephen Fienberg

Introduction to Probability
Joseph Blitzstein, Jessica Hwang (Harvard Statistics AB/AM alumnus)

An Introduction to Quantitative Finance
Stephen Blyth

Strength in Numbers: The Rising of Academic Statistics Departments in the U.S
ed. Alan Agresti, Xiao-Li Meng

Designs for Clinical Trials
ed. David Harrington

Handbook of Markov Chain Monte Carlo
ed. Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng