2015 - 2016

2015 Nov 10

ResearchStats: Gavino Puggioni

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
Title: A Bayesian Zero-inflated Latent class Model for Longitudinal Data
Abstract: This work focuses on developing latent class models for longitudinal data with zero-inflated count response variables. The goals are to model discrete, longitudinal patterns of counts of rare events (for instance, health-risky behavior), and to identify individual-specific covariates associated with latent class probabilities. Two discrete latent structures are present in this type of model: a latent categorical variable that classifies subgroups with distinct developmental trajectories and a latent binary... Read more about ResearchStats: Gavino Puggioni
2016 Apr 11

BrownCSSem: Sherri Rose

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence

A Robust Machine-Learning Approach for Variable Importance in Health Spending

2015 Dec 02

CMSA Talk: Eero Saksman

2:00pm to 3:30pm

Location: 

Science Center 232
The uniqueness of Gaussian multiplicative chaos revisited
2016 Apr 26

STAT303Lect: Roger B. Porter

10:15am to 11:30am

Location: 

Science Center Rm. 705

Presidential Decision Making: How Decisions Are Made in the White House

Roger B. Porter, IBM Professor of Business and Government

"U.S. presidents must constantly make decisions on issues about which they are not expert.  Accordingly, they must rely on others for information, analysis, options, assessments, and recommendations.  How presidents approach this challenge has varied...

Read more about STAT303Lect: Roger B. Porter
2015 Sep 25

StochStatMIT: Edo Airoldi

11:00am to 12:00pm

Location: 

32-141
Title: Some Fundamental Ideas for Causal Inference on Large Networks Abstract: Classical approaches to causal inference largely rely on the assumption of "lack of interference", according to which the outcome of each individual does not depend on the treatment assigned to others. In many applications, however, including healthcare interventions in schools, online education, and design of online auctions and political campaigns on social media, assuming lack of interference is untenable. In this talk, Prof. Airoldi will introduce some fundamental ideas to deal with interference in causal... Read more about StochStatMIT: Edo Airoldi
2015 Sep 16

CMSA Talk: Scott Aaronson

2:00pm to 3:30pm

Location: 

Science Center 232
BosonSampling and the Permanents of Gaussian Matrices

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