Seminar

2013 Nov 04

BrownCSSem: Hongtu Zhu

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Spatial and Adaptive Models for Neuroimaging Data
2013 Nov 18

BrownCSSem: Hongyu Zhao

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Network Inference from High Dimensional Data
2017 Jan 26

Seminar: Edgar Dobriban

12:00pm to 1:00pm

Location: 

Science Center Rm. 705

ePCA: Exponential family PCA

Many applications, such as photon-limited imaging and genomics, involve large datasets with entries from exponential family distributions. It is of interest to estimate the covariance structure and principal components of the noiseless distribution. Principal Component Analysis (PCA), the standard method for this setting, can be inefficient for non-Gaussian noise. In this talk we present ePCA, a methodology for PCA on exponential family distributions. ePCA involves the eigendecomposition of a new covariance matrix estimator, constructed in a...

Read more about Seminar: Edgar Dobriban
2014 Oct 31

IACS Sem: Chris Wiggins

12:30pm to 2:00pm

Location: 

Maxwell Dworkin G115
Data Science at The New York Times (Speaker is Chief Data Scientist for the New York Times)
2015 Sep 10

BUStatPrSem: Liliya Zax

4:00pm to 5:00pm

Location: 

MCS B33
Statistics application in industry: financial institutions and tech companies
2015 Dec 04

IACS Sem: Bryce Meredig

12:30pm to 2:00pm

Location: 

Maxwell Dworkin G115
Materials Data in the 21st Century: From Mishmash to Moneyball

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