
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

CANCELLED-Statistical Science Faculty Research Presentations
**CANCELED**
Friday, March 20, 2020
3:30 pm - 4:30 pm

CANCELLED-Analyzing Data Full of Holes: Topological Data Analysis
**CANCELED**
Friday, April 03, 2020
3:30 pm - 4:30 pm
Jessica Cisewski, Yale

CANCELLED-Bayesian Uncertainty
**CANCELED**
Friday, April 10, 2020
3:30 pm - 4:30 pm
Stephen Walker, University of Texas-Austin

CANCELLED-Yi Yang, McGill University
**CANCELED**
Friday, April 17, 2020
3:30 pm - 4:30 pm
Yi Yang, McGill University

CANCELLED-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

Likelihood-based Inference for Stochastic Epidemic Models via Data Augmentation
Sponsor(s):
Statistical Science
Friday, September 24, 2021
3:30 pm - 4:30 pm
Jason Xu, Duke University


Reed-Muller codes achieve capacity on BMS channels
Sponsor(s):
Statistical Science
Friday, January 21, 2022
3:30 pm - 4:30 pm
Galen Reeves, Associate Professor, Duke University Statistical Science

Experimental design for studying political polarization
Sponsor(s):
Statistical Science
Friday, January 28, 2022
3:30 pm - 4:30 pm
Alexander Volfovsky, Assistant Professor, Statistical Science, Duke University

Machine Learning Approach to Kaggle COVID 19 Global Forecasting Challenge
Sponsor(s):
Statistical Science
Wednesday, March 23, 2022
3:30 pm - 4:45 pm
Funda Güneş, Master's Director, Duke University

Characterizing the Type 1-Type 2 Error Trade-off for SLOPE
Sponsor(s):
Statistical Science
Friday, March 25, 2022
3:30 pm - 4:30 pm
Cynthia Rush, Assistant Professor, Columbia University, Statistics

Controlled Discovery and Localization of Signals via Bayesian Linear Programming
Sponsor(s):
Statistical Science
Friday, April 01, 2022
3:30 pm - 4:30 pm
Lucas Janson, Assistant Professor, Statistics and Affiliate, Computer Science, Harvard University

Functional Models for Time Varying Random Objects
Sponsor(s):
Statistical Science
Friday, April 08, 2022
3:30 pm - 4:30 pm
Paromita Dubey, Assistant Professor, Data Sciences and Operations, USC Marshall School of Business

Arabic Night 2022
Sponsor(s):
Asian & Middle Eastern Studies (AMES)
Wednesday, April 13, 2022
6:00 pm
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