Past Seminars 2015 - 2017

The PRIISM seminar series consists of research seminars of interest to an applied statistics audience, from innovative applications of applied statistics to novel statistical theory and methodology. Click here for information about the current seminar series, or for an archive of events from 2008 - 2015, or sign up for our mailing list to receive upcoming event reminders.

Previous Events: Fall 2015 - Spring 2017

Date, Time, LocationSpeaker Name, AffiliationTopic (click for more info)
9/16/2015, 11-12
3rd Fl. Conf. Rm, Kimball
Pat Shrout
(NYU)
Studying Change with Difference Scores versus ANCOVA: Issues, Perspectives and Advances

10/7/2015, 11-12
3rd Fl. Conf. Rm, Kimball

Charles Lang
(NYU)
The End of Intelligence? What might Big Data, Learning Analytics and the Information Age Mean for how we Measure Education

10/14/2015, 10:30 - 11:30 
3rd Fl. Conf. Rm, Kimball

Bryan Keller
(TC, Columbia)
Covariate Selection with Observational Data: Simulation Results and Discussion

Thurs 11/19/2015,10:30 - 12 
5th Fl. Conf. Rm, Pless Hall

Russell Steele
(McGill)
The Curious Case of the Instrumental Variable Estimator for the Complier Average Causal Effect

12/2/2015, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Barry Cohen
(NYU)
The Controversies over Null Hypothesis Testing and Replication

1/27/2016, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Elizabeth Tipton
(TC)
Small sample adjustments to F-tests for cluster robust standard errors

Mon 2/1/2016, 10 - 11:30 
3rd Fl. Conf. Rm, Kimball

Tian Zheng
(Columbia)
Topic-adjusted visibility metric for scientific articles

2/10/2016, 2:30 - 4:00
3rd Fl. Conf. Rm, Kimball

Tyler McCormick
(Seattle)
Probabilistic Cause-of-death Assignment using Verbal Autopsies

Mon 2/22/2016, 12 - 1:30 
3rd Fl. Conf. Rm, Kimball

José González-Brenes
(Pearson)
Improving Human Learning with Unified Machine Learning Frameworks: Towards Faster, Better, and Less Expensive Education

2/24/2016, 12 - 1:30 
CDS 726 Broadway

Michael Betancourt
(Warwick)
Scalable Bayesian Inference with Hamiltonian Monte Carlo

3/23/2016, 11:00 - 12:00
3rd Fl. Conf. Rm, Kimball

Adriana Crespo-Tenorio
(Facebook)
Bayes vs Maximum Likelihood: The case of bivariate probit models

4/6/2016, 11:00 - 12:00 
CDS 726 Broadway

Ilya Shpitser
(JHU)
Mediation: From Intuition to Data Analysis

9/14/2016, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Stephen H. Bell
(Abt Associates)
Basing Causal Inferences about Policy Impacts on Non-Representative Samples of Sites – Risks, Consequences, and Fixes

9/21/2016, 10:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Vincent Dorie
(NYU)
Bayesian Inference and Stan Tutorial

10/5/2016, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Leanna House
(Virginia Tech)
Be the Data and More: Using interactive, analytic methods to enhance learning from data for students

10/19/2016, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Paul De Boeck
(Ohio State University)
Why so many research hypotheses are mostly false and how to test

11/2/2016, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Catherine Calder
(Ohio State University)
Latent Space Models for Affiliation Networks

12/7/2016, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Kathryn Vasilaky
(Columbia University)
Generalized Ridge Regression Using an Iterative Solution

2/28/2017, 9:30 - 10:30 
3rd Fl. Conf. Rm, Kimball

Sam Pimentel
(UPenn)
Large, Sparse Optimal Matching in an Observational Study of Surgical Outcomes

3/1/2017, 12:30 - 1:30 
3rd Fl. Conf. Rm, Kimball

Patrick Perry
(NYU Stern)
Scaling Latent Quantities from Text: From Black-and-White to Shades of Gray

3/9/2017, 11:30 - 12:30 
3rd Fl. Conf. Rm, Kimball

Ravi Shroff
(NYU CUSP)
Simple Rules for Decision-Making

3/22/2017, 2:00 - 3:30 
3rd Fl. Conf. Rm, Kimball

Sharif Mahmood
(KSU)
Finding common support through largest connected components and predicting counterfactuals for causal inference

3/23/2017, 11:00 - 12:30 
3rd Fl. Conf. Rm, Kimball

Winston Lin Agnostic Notes on Regression Adjustments to Experimental Data: Reexamining Freedman's Critique

4/5/2017, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Jared Murray
(CMU)
Log-Linear Bayesian Additive Regression Trees

4/19/2017, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Carlos Carvalho
(UT Austin)
Bayesian Causal Forests: Heterogeneous Treatment Effects from Observational Data

4/26/2017, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Jay Verkulien
(CUNY)
Remarks on the Mean-Difference Transformation and Bland-Altman Plot

5/3/2017, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Mireille Schnitzer
(University of Montreal)
Collaborative targeted learning using regression shrinkage

5/10/2017, 11:00 - 12:00 
3rd Fl. Conf. Rm, Kimball

Mariola Moeyaert
(University at Albany)
Multilevel modeling of single-subject experimental data: Handling data and design complexities