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Sacks Award to Professor Jun Liu

Sacks Award to Professor Jun Liu

August 7, 2017

The 2017 “Jerome Sacks Award for Cross-Disciplinary Research” has been given to Professor Jun Liu for "For groundbreaking research contributions at the interface of statistics and biology, including algorithms for protein sequence analysis, DNA sequence motif finding, gene expression analysis, and regulatory network elucidation that have become important tools for computational biologists." The Sacks Award is an annual research prize given by the US National Institute of Statistical Sciences for “sustained, high-

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Recent Faculty E-prints on arXiv

1. arXiv:1704.04858 [pdf, other]
A Nonparametric Bayesian Methodology for Regression Discontinuity Designs
Zach Branson, Maxime Rischard, Luke Bornn, Luke Miratrix

2. arXiv:1704.01190 [pdf, other]
Testing for arbitrary interference on experimentation platforms
 
3. arXiv:1702.07089 [pdf, other]
A Nonparametric Bayesian Approach to Copula Estimation
Shaoyang Ning, Neil Shephard
 
4. arXiv:1702.03578 [pdf, other]
Elements of estimation theory for causal effects in the presence of network interference
Daniel L. Sussman, Edoardo M. Airoldi
 
5. arXiv:1702.01777 [pdf, ps, other]
Optimal Scaling of the MALA algorithm with Irreversible Proposals for Gaussian targets
Michela Ottobre, Natesh S. Pillai, Konstantinos Spiliopoulos
 
6. arXiv:1701.06009 [pdf, other]
On the optimality of sliced inverse regression in high dimensions
Qian Lin, Xinran Li, Dongming Huang, Jun S. Liu

Recent Faculty Books

Handbook of Statistical Methods and Analyses in Sports
ed. Jim Albert, Mark Glickman, Tim Swartz, Ruud Koning

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