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Triple Honors for Donald B. Rubin

Triple Honors for Donald B. Rubin

April 4, 2017

Donald B. Rubin, John L. Loeb Professor of Statistics, has been awarded the 2017 Waksberg Award for Statistical Contributions to Survey Methodology and the 2017 Rao Prize for Outstanding Research in Statistics. In June, he will receive an honorary degree from Northwestern University in Evanston, Illinois. Congratulations, Professor Rubin!

Lucas Janson

Lucas Janson joins Harvard Statistics

March 15, 2017

We are delighted that Lucas Janson will join the Harvard Statistics Department on 1st July 2017 as an Assistant Professor of Statistics.  Lucas is currently a PhD student in statistics at Stanford.  Lucas describes his work in the following way: “I am interested in both theoretical and applied statistical problems. On the theoretical side, I am concentrating on high-dimensional statistical inference, robust machine learning, and robotic motion-planning.

Susan Murphy

Professor Susan Murphy joins Harvard Statistics

March 8, 2017

We are delighted that Professor Susan Murphy will join the Harvard Statistics Department on 1st September 2017 as a Professor of Statistics and the Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University.  Susan is currently H.E. Robbins Distinguished University Professor of Statistics & Professor of Psychiatry at the University of Michigan.  She has received many awards during her career, including being a  member of the National Academy of Sciences and a MacArthur Fellow. 

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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