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Current News

Susan Murphy

Congratulations to Professor Susan A. Murphy

January 24, 2018

The Statistics Department is delighted to report that Professor Susan A. Murphy is to be given the 2018 R.A. Fisher Award and Lectureship. She will deliver the Fisher Lecture at the Joint Statistical Meetings this coming summer. Professor Murphy joined our Department in 2017 as the Professor of Statistics, Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University and Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences.

Read more about Congratulations to Professor Susan A. Murphy

Professor Kosuke Imai joins Harvard

January 24, 2018

The Statistics Department is delighted to report that Professor Kosuke Imai (currently Professor, Department of Politics and Center for Statistics and Machine Learning at Princeton) will become Professor of Government and Statistics at Harvard from the fall of 2018 and be a senior faculty member of our Department. Professor Imai's research area is political methodology and more generally applied statistics in the social sciences. He has extensively worked on the development and applications of statistical methods for causal inference with experimental and observational data.


Senior Lecturer Mark Glickman Brings New England Symposium on Statistics in Sports to Harvard

September 29, 2017
The New England Symposium on Statistics in Sports is a meeting of statisticians and quantitative analysts connected with sports teams, sports media, and universities to discuss common problems of interest in statistical modeling and analysis of sports data. The symposium format is a mixture of invited talks, a poster session, and a panel discussion. It was held on Saturday, September 23, 2017, and will return to the Harvard campus in 2019. More information may be found here. Read more about Senior Lecturer Mark Glickman Brings New England Symposium on Statistics in Sports to Harvard

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

Mobile Health

ed. James Rehg, Susan Murphy, Santosh Kumar


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