2014 - 2015

2015 Apr 10

StochStatMIT: Moritz Hardt

11:00am to 12:00pm

Location: 

E62-450
How good is your model? Guilt-free interactive data analysis
2014 Oct 27

Seamless Colloquium

12:00pm to 1:00pm

Location: 

Phillips Auditorium, 60 Garden St
The Knowledge Infrastructure of Astronomy Christine L. Borgman (in connection with the Seamless Astronomy Group)
2014 Dec 02

ResearchStats: Shihao Yang & Xufei Wang

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
Shihao Yang Pricing Options and Futures on a Government Bond Volatility Index Xufei Wang Independence Test for Univariate Random Variables
2014 Nov 25

MCMC: Xiao-Li Meng

1:00pm to 2:30pm

Location: 

Sanders Theater
MCMC Title: The Magic of MCMC and Statistics: A Live Performance Abstract: Markov chain Monte Carlo (MCMC) methods, originated in computational physics more than half a century ago, have had magical impact in quantitative scientific investigations. This is mainly due to their ability to simulate from very complex distributions needed by all kinds of statistical models, from bioinformatics to financial engineering to astronomy. This talk provides an introductory tutorial of the two most frequently used MCMC algorithms: the Gibbs sampler and the Metropolis-Hastings algorithm. Using simple yet... Read more about MCMC: Xiao-Li Meng
2015 May 04

BrownCSSem: Paul Rosenbaum

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Testing One Hypothesis Twice in Observational Studies
2015 Feb 18

ApplStatWksp: Justin Reich

12:00pm to 1:30pm

Location: 

1737 Cambridge Street, K354
Massive Open Online Courses and the Science of Learning
2014 Sep 24

CMSA Talk: Amir Dembo

12:00pm to 2:00pm

Location: 

Science Center Rm. 232
Title: Statistical Mechanics on Sparse Random Graphs: Mathematical Perspective Abstract: Theoretical models of disordered materials lead to challenging mathematical problems with applications to random combinatorial problems and coding theory. The underlying structure is that of many discrete variables that are strongly interacting according to a mean field model determined by a random sparse graph. Focusing on random finite graphs that converge locally to trees we review recent progress in validating the `cavity prediction for the limiting free energy per vertex and the approximation of... Read more about CMSA Talk: Amir Dembo
2015 Mar 11

ApplStatWksp: James Robins

12:00pm to 1:30pm

Location: 

1737 Cambridge Street, K354
The Foundations of Statistics and Its Implications for Current Methods for Causal Inference from Observational and Randomized Trial Data
2014 Sep 09

ResearchStats: Alexander Franks & Qian Lin

12:00pm to 1:00pm

Location: 

Science Center Rm. 705
Alexander Franks Bayesian Inference with Non-Ignorable Missing Data Qian Lin On Consistency and Sparsity for Sliced Inverse Regression in High Dimensions

Pages