Colloquia

2016 Nov 28

Colloq: Kristian Lum

4:15pm to 5:15pm

Location: 

Science Center Rm. 300H

Bias in, bias out: predictive models in the criminal justice system

Predictive models are increasingly used in the criminal justice system to try to predict who will commit crime in the future and where that crime will occur. But what happens when these models are trained using biased data? In this talk, I will present two examples of how biased data is used in the criminal justice system. In the first example, I will introduce a recently published model used...

Read more about Colloq: Kristian Lum
2014 Feb 05

StatColloq: Arash Amini

4:15pm to 5:15pm

Location: 

Science Center Rm. 705
Pseudo-likelihood Methods for Community Detection in Large Sparse Networks
2014 May 02

Stat Colloq: David A. Watson

3:00pm to 4:30pm

Location: 

Science Center Rm. 705
A Principal Stratification Approach to Receipt of Rescue Medication in Early Escape Designs
2014 Nov 10

Stat Colloq: Steve MacEachern

4:15pm to 5:15pm

Location: 

Science Center Rm. 705
The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models
2015 Sep 14

Stat Colloq: Xihong Lin

4:15pm to 5:15pm

Location: 

Science Center 300H
Hypothesis Testing for Detecting Dense and Sparse Signals in Analysis of Massive Whole Genome Sequencing Data
2016 Feb 01

Stat Colloq: Edward Ionides

4:15pm to 5:30pm

Location: 

Science Center 300H
Inference for Dynamic and Latent Variable Models via Iterated, Perturbed Bayes Maps
2016 Dec 05

Colloq: Edward Glaeser & Nikhil Naik

4:15pm to 5:15pm

Location: 

Science Center Rm. 300H

Visualizing the City

Google Streetview now provides an enormously rich picture of the physical streetscapes of the world's cities. Advances in computer recognition techniques make it possible to use images to predict local demographics or the curb appeal of particular places. We show how the combination of Google Streetview and computer vision techniques can map the patterns of neighborhood in six American cities. We also use these methods to predict income in...

Read more about Colloq: Edward Glaeser & Nikhil Naik
2013 Oct 21

Stat Colloq: Brian J. Reich

4:15pm to 5:15pm

Location: 

Science Center Rm. 705
New approaches to Bayesian variable selection in high-dimensional settings
2014 Apr 07

Stat Colloq: Arnaud Doucet

4:15pm to 5:15pm

Location: 

Science Center Rm. 705
Efficient Implementation of MCMC When Using an Unbiased Likelihood Estimator
2014 Oct 16

Stat Colloq: Daniel Fernandez

2:45pm to 4:00pm

Location: 

Science Center Rm. 706
Bayesian Regression Allelic Imbalance Models, or how to find the biased coins in the fountain of life

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