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Professor Stephen Blyth's Generosity Featured

Professor Stephen Blyth's Generosity Featured

May 10, 2017

PhD Alumnus and Professor of the Practice Stephen Blyth's generosity is featured on the Harvard Alumni page. "Anyone cataloguing the many gifts Stephen Blyth PhD ’92 has made to Harvard over the last decade could use an annotated guide. He has named each benefaction—whether to financial aid, House Renewal, or graduate education—for his wife, his parents, a faculty advisor, Tufnell Park (a tube stop near his boyhood home in North London), or for other connections. … Read more about Professor Stephen Blyth's Generosity Featured

Harvard’s Master of Science (SM) Degree in Data Science

Harvard’s Master of Science (SM) Degree in Data Science

May 10, 2017

The Harvard Faculty of Arts and Sciences is pleased to announce the launch of a new Master of Science (SM) degree in Data Science. The new degree, under the joint academic leadership of the Computer Science and Statistics faculties and administered through the Institute for Applied Computational Science (IACS), will train students in the rapidly growing field of data science. … Read more about Harvard’s Master of Science (SM) Degree in Data Science

MORE NEWS

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