2015 - 2016

2016 Mar 29

ResearchStats: Anqi Zhao

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
Neymanian Causal inference and Neyman-Pearsonian classification
2015 Nov 16

BigData: Caroline Buckee

12:30pm to 1:30pm

Location: 

FXB G13
Using Mobile Phone Data to Estimate Human Migration and the Spread of Infectious Disease
2016 Apr 05

ResearchStats: Robin Gong & Neil Shephard

12:00pm to 1:00pm

Location: 

Science Center Rm. 705

Belief Functions as a Paradigm for Multi-resolution Probabilistic Inference

Nonparametric Bayesian quantiles and a nonparametric hierarchical quantile model

2015 Dec 02

ApplStatWksp: Edo Airoldi

12:00pm to 1:30pm

Location: 

1737 Cambridge Street, K354

Estimating Causal Effects in the Presence of Interfering Units

Classical approaches to causal inference largely rely on the assumption of “lack of interference”, according to which the outcome of an individual does not depend on the treatment assigned to others. In many applications, however, such as designing and evaluating the effectiveness of healthcare interventions that leverage social structure, assuming lack of interference is untenable...

Read more about ApplStatWksp: Edo Airoldi
2015 Sep 10

BUStatPrSem: Liliya Zax

4:00pm to 5:00pm

Location: 

MCS B33
Statistics application in industry: financial institutions and tech companies
2016 Feb 16

AstroStatTalk: Yang Chen & Xufei Wang

1:00pm to 2:30pm

Location: 

Science Center Rm. 706
Progress report of 'Calibration with Multiplicative Means but Additive Errors: A Log Normal Approach'

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