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New colleague: Mark Glickman

New colleague: Mark Glickman

August 26, 2015

The Department announces that Mark Glickman will join us full time at the start of 2016 as the founding head of the Department’s new Lab for Sports Analytics and Senior Lecturer in Statistics.  Mark is currently Research Professor at Boston University’s School of Public Health and Senior Statistician at the Center for Healthcare Organization and Implementation Research.  His focus is on Bayesian inference, paired comparison models and design, applications to health services, medicine …

New colleague: Pierre Jacob

New colleague: Pierre Jacob

August 15, 2015

The Department welcomes Pierre Jacob as an Assistant Professor of Statistics.  Pierre joins us from Oxford University where he has been a post-doctoral fellow.  His Ph.D. was from Université Paris-Dauphine.  His  research focus has been on Sequential and Markov Chain Monte Carlo methods for Bayesian Statistics. 


Recent Faculty E-prints on arXiv

Implicit stochastic approximation
Panos Toulis, Edoardo M. Airoldi

Stochastic gradient descent methods for estimation with large data sets
Dustin Tran, Panos Toulis, Edoardo M. Airoldi

Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System
Alice Xiang, Donald B. Rubin

Single Particle, Passive Microrheology in Biological Fluids with Drift
John W. R. Mellnik, Martin Lysy, Paula A. Vasquez, Natesh S. Pillai, et al.

Moment conditions and Bayesian nonparametrics
Luke Bornn, Neil Shephard, Reza Solgi

Kac's Walk on $n$-sphere mixes in $n\log n$ steps
Natesh S. Pillai, Aaron Smith

FastGP: An R Package for Gaussian Processes
Giri Gopalan, Luke Bornn


Recent Faculty Books

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