2014 - 2015

2014 Dec 02

AstroStatTalk: Giri Gopalan

1:00pm to 2:00pm

Location: 

Science Center Rm. 706
A Bayesian Model for the Detection of X-ray Binary Black Holes
2015 Jan 23

Privacy in a Networked World

8:15am to 5:00pm

Location: 

Harvard Science Center
Privacy in a Networked World Fourth Annual Symposium on the Future of Computation in Science and Engineering Institute for Applied Computational Science, Harvard University
2015 Feb 09

Stat Colloq: Veronika Rockova

4:15pm to 5:15pm

Location: 

Science Center Rm. 705
Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity CANCELLED DUE TO WEATHER
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 06

BU CISE Sem: David Gamarnik

3:00pm to 4:00pm

Limits of Local Algorithms for Randomly Generated Constraint Satisfaction Problems (sponsored jointly with the Statistics and Probability Seminar Series)
2014 Oct 16

Stat Colloq: Daniel Fernandez

2:45pm to 4:00pm

Location: 

Science Center Rm. 706
Bayesian Regression Allelic Imbalance Models, or how to find the biased coins in the fountain of life
2015 Apr 13

BrownCSSem: Sally Morton

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Standards for Clinical Studies: Is Quality in the Eye of the Beholder?
2015 Apr 24

StochStatMIT: Ankur Moitra

11:00am to 12:00pm

Location: 

E62-450
Tensor Prediction, Rademacher Complexity and Random 3-XOR
2015 Apr 21

ResearchStats: Qiuyi Han & Yang Chen

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
Modeling network diffusion on Twitter Greedy (Griddy) Parallel MCMC Algorithms
2014 Nov 10

BrownCSSem: Robert E. Kass

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Inferences about Neural Networks from Bayesian Control of False Discoveries: The Case of Synchrony Detection

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