Department News

Department of Statistics

Columbia University

Faculty Positions Starting  Fall 2017

The Department of Statistics invites applications for a faculty position in applied/interdisciplinary statistics to begin July 1, 2017....

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JOINT COLLOQUIUM SERIES EVENT

Robert Tibshirani (Professor of Biomedical Data Science, and Statistics, Stanford University)

“Recent Advances in Post-Selection Statistical Inference”

ABSTRACT: In this era of big data and complex statistical modeling, scientists use sophisticated computational tools to search through a large number of models, looking for meaningful patterns....

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2017 Minghui Yu Memorial Conference - Saturday, April 22

2017 Minghui Yu Memorial Conference

The 2017 Minghui Yu Memorial Conference, organized by doctoral students at Statistics Department of Columbia University, will take place on Saturday, April 22nd at the Faculty House in Garden room 2....

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Causal Inference Conference - Saturday, May 6, 2017

https://www.eventbrite.com/e/columbia-university-causal-inference-conference-varying-treatment-effects-tickets-33553158400

This is the second of the three causal inference conferences sponsored by the Columbia University Statistics Department this year....

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Columbia Statistics Club successfully held the StatFest 2016

Dear CSC members,

Last weekend, Columbia Statistics Club successfully held the StatFest 2016. A series of lectures were given by distinguished guests during the two-day’s Hackathon....

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Richard Davis delivered his IMS Presidential Address at the World Congress in Probability and Statistics
Presidential Address: Are We Meeting the Challenge?

Richard Davis delivered his IMS Presidential Address at the World Congress in Probability and Statistics, at the Fields Institute in Toronto on July 11, 2016....

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Obituary: Theodore W. Anderson 1918–2016

Stanford Professor Emeritus Theodore W. “Ted” Anderson, a giant in mathematical statistics and econometrics, and a “prophet” of the era of big data, died of heart failure on September 17....

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Our first conference on causal inference will focus on ways to estimate a number of different types of treatment effects both when standard assumptions such as ignorability and SUTVA hold, as well as cases where these assumptions fail....

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