2014 - 2015

2015 Mar 12

Econometrics: Victor Chernozhukov

4:30pm to 6:00pm

Location: 

Littauer M-15
Central Limit Theorems and Bootstrap when p>>n, with Application to Post-Selection Inference
2014 Sep 22

BrownCSSem: Min-ge Xie

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Meta-Analysis by Confidence Distribution - A Unified Approach and Beyond
2015 Mar 17

ResearchStats: Nikola Andric

12:30pm to 1:30pm

Location: 

Science Center Rm. 705
Exploring Objective Causal Inference in Case-Noncase Studies under the Rubin Causal Model
2014 Oct 01

BrownCSSem: Andrew Gelman

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Causality and Statistical Learning
2015 Mar 23

Stat Colloq: Rong Chen

4:15pm to 5:15pm

Location: 

Science Center Rm. 705
Two Approaches of Analyzing Functional Time Series
2014 Sep 30

MIT ORC: Michael I. Jordan

12:00pm to 1:00pm

Location: 

E25-111
Optimistic Concurrency Control for Distributed Machine Learning
2015 Mar 31

ResearchStats: TBA

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
(cancelled)
2014 Oct 24

PickardLect: Deborah Nolan

3:30pm to 5:30pm

Location: 

Maxwell Dworkin G115
David K. Pickard Memorial Lecture Series "The Role of Data Science in Statistics Education" Deborah Nolan, University of California, Berkeley Reception to follow from 5:30 to 6:30 PM in the lobby.
2015 Apr 16

HSPHBiostat: Marc Suchard

12:30pm to 2:00pm

Location: 

BIO Conference Room
Sex, Lies and Self-Reported Counts: General Birth-Death Processes to Model Self-Reported Count of Sexual Behavior Surveys often ask respondents to report non-negative counts, but respondents may misremember or round to a nearby multiple of 5 or 10. The error inherent in this heaping can bias estimation. To avoid bias, we propose a novel reporting distribution arising from a general birth-death process whose underlying parameters are readily interpretable as rates of misremembering and rounding. The process accommodates a variety of heaping grids and allows for quasi-heaping to values nearly... Read more about HSPHBiostat: Marc Suchard

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