2016 - 2017

2016 Oct 31

Colloq: Nick Whiteley

4:15pm to 5:15pm

Location: 

Science Center Rm. 300H

Log-concavity and importance sampling in high dimensions

Importance sampling is one of the elementary Monte Carlo methods for approximating expectations with respect to a 'target' distribution whose normalizing constant is unknown. The idea is simply to draw samples from some other distribution which dominates the target, then approximate the expectation of interest using appropriately weighted sample averages.

Direct application of this idea can...

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2017 Feb 07

STAT 300: Reagan Rose and Jameson Quinn

12:20pm to 1:10pm

Location: 

Science Center Rm. 705

"Guiding jurors with prior-award information: a case study in causal inference from factorial design" by Reagan Rose

"Using locality to beat the curse of dimension in particle filters" by Jameson Quinn

2017 Feb 14

STAT 310: Xufei Wang and Luis Campos

1:00pm to 2:30pm

Location: 

Science Center Rm. 706
AstroStat Talks 2016-2017 "Bounding a good region," by Xufei Wang "Separating close sources by their temporal behavior," by Luis Campos
2016 Sep 26

Colloq: Marie-Abele Bind

4:15pm to 5:15pm

Location: 

Science Center Rm. 300H

Transporting established insights from classical experimental design to address causal questions in environmental epidemiology, including the understanding of biological mediating mechanisms

There is a fundamental gap in addressing causality in observational studies due to missing data, lack of randomization, and complications due to temporality. Measures of association are not optimal for making relevant policy recommendations because these involve...

Read more about Colloq: Marie-Abele Bind
2016 Dec 13

STAT 300: Zach Branson and Maxime Rischard

12:00pm to 1:00pm

Location: 

Science Center Rm. 705

"A Nonparametric Bayesian Methodology for Regression Discontinuity Designs," by Zach Branson

TBD by Maxime Rischard

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