## Statistical Science Faculty Research Presentations

Friday, September 06, 2019

3:30 pm - 4:30 pm

Mike West, Fan Li, Amy Herring and Hau-Tieng Wu, Duke Statistical Science Faculty

## Scaling and Generalizing Approximate Bayesian Inference

Friday, September 13, 2019

3:30 pm - 4:30 pm

David Blei, Columbia University

## Causal inference under spillover and contagion: structural versus agnostic methods

Friday, September 20, 2019

3:30 pm - 4:30 pm

Forrest Crawford, Yale School of Public Health

## PageRank on Directed Complex Networks

Friday, September 27, 2019

3:30 pm - 4:30 pm

Mariana Olvero-Cravioto, UNC

## Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences

Friday, October 04, 2019

3:30 pm - 4:30 pm

Dr. Tian Zheng, Columbia University

## Spiked Laplacian Graphs - harnessing the spectral graph theory in the Bayesian framework

Friday, October 11, 2019

3:30 pm - 4:30 pm

Leo Duan, University of Florida

## Bayesian Categorical Matrix Factorization via Double Feature Allocation

Friday, October 18, 2019

3:30 pm - 4:30 pm

Peter Mueller, University of Texas - Austin

## Sparsity selection in high-dimensional Bayesian vector autoregressive models based on a pseudo-likelihood approach

Friday, October 25, 2019

3:30 pm - 4:30 pm

Kshitij Khare, University of Florida

## +DS IPLE: Biomedical Data Science and Machine Learning Applications in Healthcare

Sponsor(s):
+DataScience (+DS), Biomedical Engineering (BME), Biostatistics and Bioinformatics, Information Initiative at Duke (iiD), Machine Learning, and Pratt School of Engineering

Wednesday, October 30, 2019

4:30 pm - 6:30 pm

Jessilyn Dunn

## Kernel tests of goodness-of-fit using Stein's method

Friday, November 01, 2019

3:30 pm - 4:30 pm

Arthur Gretton - Gatsby Computational Neuroscience Unit - UCL

## An Exact Auxiliary Variable Gibbs Sampler for a Class of Diffusions

Friday, November 08, 2019

3:30 pm - 4:30 pm

Vinayak Rao, Purdue

## A Bayesian Approach to Mapping Directional Brain Networks

Friday, November 15, 2019

3:30 pm - 4:30 pm

Tingting Zhang, University of Virginia

## Shuffled monotone regression

Friday, November 22, 2019

3:30 pm - 4:30 pm

Charles Doss, University of Minnesota

## Edge-Selection Priors for Graphical Models and Applications to Complex Biological Data

Friday, December 06, 2019

3:30 pm - 4:30 pm

Marina Vannucci, Rice University

## Stochastic nets and Bayesian regularization

Monday, January 06, 2020

3:30 pm - 4:30 pm

Joshua Bon, Queensland University of Technology & ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)

## 'Statistics 101' for Network Data Objects

Friday, January 17, 2020

3:30 pm - 4:30 pm

Eric Kolaczyk, Boston University

## Latent variable models: from spectral methods to non-convex optimization

Wednesday, January 22, 2020

3:30 pm - 4:30 pm

Kaizheng Wang, Princeton

## Cancelled-Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records

Friday, January 24, 2020

3:30 pm - 4:30 pm

Bhramar Mukherjee, University of Michigan

## Testing high-dimensional linear hypotheses through spectral shrinkage

Friday, January 31, 2020

3:30 pm - 4:30 pm

Debashis Paul, University of California, Davis

## Statistical and computational perspectives on latent variable models

Wednesday, February 05, 2020

3:30 pm - 4:30 pm

Nhat Ho, Berkeley

## Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets

Friday, February 07, 2020

3:30 pm - 4:30 pm

Dawn Woodard, Director of Data Science (Maps, Forecasting, and Experimentation),Uber

## Towards seamless carbon cycle prediction: from data assimilation to emergent constraints

Friday, February 14, 2020

3:30 pm - 4:30 pm

Kevin Bowman, JPL Science, NASA

## Probably Approximately Correct Causal Discovery

Friday, February 21, 2020

3:30 pm - 4:30 pm

David Page, Department of Biostatistics and Bioinformatics, Duke University School of Medicine

## Bayes from Moments

Friday, February 28, 2020

3:30 pm - 4:30 pm

Siddhartha Chib, Washington University, St. Louis

## Sample size considerations for precision medicine

Sponsor(s):
Statistical Science, Biostatistics and Bioinformatics, and Information Initiative at Duke (iiD)

Wednesday, March 04, 2020

3:30 pm - 4:30 pm

Eric Laber, NC State University

## Overcoming weakly identifiable mixture models with more exchangeable data

Friday, March 06, 2020

3:30 pm - 4:30 pm

Long Nguyen, University of Michigan

## Statistical Science Faculty Research Presentations

**CANCELED**

Friday, March 20, 2020

3:30 pm - 4:30 pm

## Analyzing Data Full of Holes: Topological Data Analysis

**CANCELED**

Friday, April 03, 2020

3:30 pm - 4:30 pm

Jessica Cisewski, Yale

## Bayesian Uncertainty

**CANCELED**

Friday, April 10, 2020

3:30 pm - 4:30 pm

Stephen Walker, University of Texas-Austin

## Yi Yang, McGill University

**CANCELED**

Friday, April 17, 2020

3:30 pm - 4:30 pm

Yi Yang, McGill University

## Rebecca Hubbard, Perelman School of Medicine, University of Pennsylvania

**CANCELED**

Friday, April 24, 2020

3:30 pm - 4:30 pm

Rebecca Hubbard, Perelman School of Medicine, University of Pennsylvania