2014 - 2015

2015 May 05

ResearchStats: Jiannan Lu

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
Bounding causal effects for ordinal outcomes: partial identification and objective inference We consider the problem of causal inference for ordinal outcomes, in which the estimands are often unidentifiable. Instead of invoking strong modeling assumptions, we take the objective approach of partial identification and derive closed form expressions for the sharp bounds of various estimands. Our results are assumption free, scientifically meaningful and extremely easy to compute and interpret. We illustrate our results through simulation studies and a real data example.
2014 Dec 08

BrownCSSem: Elizabeth Stuart

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Propensity Score Methods in the Context of Covariate Measurement Error
2014 Dec 02

MIT CSAIL: Kevin Murphy

2:00pm to 3:00pm

Location: 

Kiva 32-G449
Extracting Declarative and Procedural Knowledge from Documents and Videos on the Web
2015 Feb 17

BUStatPrSem: David Gerard

4:00pm to 5:00pm

Location: 

MCS B21
Theory and Methods for Tensor Covariance Estimation
2015 Feb 02

BrownCSSem: Roger Peng

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
TBA
2014 Sep 11

MIT ORC: Retsef Levi

4:15pm to 5:15pm

Location: 

E51-335
Exploration vs. Exploitation: Reducing Uncertainty in Operational Problems
2015 Feb 02

BUStatPrSem: Dena Asta

4:00pm to 5:00pm

Location: 

MCS 148
Geometric methods for the statistical analysis of non-Euclidean data and networks
2014 Sep 17

CMSA Talk: Han Liu

12:30pm to 2:00pm

Location: 

Science Center Rm. 232
Title: Transelliptical Graphical Models: Theory and Computation Abstract: We introduce the theory and computation of a semiparametric approach for estimating high dimensional graphical models. There are two main themes of this talk: semiparametric sparsity and statistical optimization. We illustrate the concept of semiparametric sparsity through the transelliptical graphical modeling, and illustrate the concept of statistical optimization through the theoretical analysis of a pathwise coordinate optimization algorithm named PICASA. (Random Matrix and Probability Theory seminar: flyer)
2015 Mar 03

HCatalyst: Tyler VanderWeele

8:30am to 4:30pm

Location: 

Countway Library, Minot Room
Causal Mediation Analysis Harvard Catalyst Biostatistics Seminar
2014 Oct 15

ApplStatWksp: Teppei Yamamoto

12:00pm to 1:30pm

Location: 

1737 Cambridge Street, K354
Design, Identification, and Sensitivity Analysis for Patient Preference Trials
2015 Apr 07

Stat Colloq: Mark McClellan

5:30pm to 6:30pm

Location: 

Science Center Lecture Hall D
Trends in Premarket Regulation and Postmarket Surveillance of Drugs and Medical Devices: The Intersection of Regulatory Reform and Applied Statistics (note the special day & time, as well as location)
2015 Mar 25

ApplStatWksp: Fabrizia Mealli

12:00pm to 1:30pm

Location: 

1737 Cambridge Street, K354
Evaluating the effect of university grants on student dropout: Evidence from a regression discontinuity design using Bayesian principal stratification analysis
2014 Nov 04

AstroStatTalk: Fan Min Jie

1:00pm to 2:00pm

Location: 

Science Center Rm. 706
Separating image structures via graph-based seeded region growing
2015 Apr 20

SEAS CS: Rafael Frongillo

11:30am to 1:00pm

Location: 

Maxwell Dworkin 119
Designing Adaptive Prediction Markets

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