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
Variable Selection and Prioritization in Bayesian Machine Learning Methods
Sponsor(s):
Statistical Science
Friday, April 15, 2022
3:30 pm - 4:30 pm
Lorin Crawford, RGSS Assistant Professor, Biostatistics, Brown University
Revisiting Gelman-Rubin with Global Centering
Sponsor(s):
Statistical Science
Monday, May 09, 2022
12:00 pm - 1:00 pm
Dootika Vats is an Assistant Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur, India.
Bayesian Functional Principal Component Analysis using Relaxed Mutually Orthogonal Processes
Sponsor(s):
Statistical Science
Friday, September 09, 2022
3:30 pm - 4:30 pm
James Matuk, Postdoctoral Associate, Duke University
Semiparametric discrete data regression with Monte Carlo inference and prediction
Sponsor(s):
Statistical Science
Friday, September 16, 2022
3:30 pm - 4:30 pm
Daniel Kowal, Dobelman Family Assistant Professor Department of Statistics, Rice University
Unsupervised tree boosting for learning probability distributions
Sponsor(s):
Statistical Science
Friday, September 23, 2022
3:30 pm - 4:30 pm
Li Ma, Associate Professor of Statistical Science, Duke University
Algorithmic Stochastic Localization for the Sherrington-Kirkpatrick Model
Sponsor(s):
Statistical Science
Friday, October 07, 2022
3:30 pm - 4:30 pm
Mark Sellke, Assistant Professor, Dept. of Statistics, Harvard
The Shadow Carceral State and Racial Inequality
Sponsor(s):
Statistical Science
Friday, October 14, 2022
3:30 pm - 4:30 pm
Ted Enamorado, Washington University at St Louis
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC
Sponsor(s):
Statistical Science
Friday, October 21, 2022
3:30 pm - 4:30 pm
Andi Wang, Senior Research Associate, School of Mathematics Research, University of Bristol-Warwick
Scalable community detection in massive networks via predictive inference
Sponsor(s):
Statistical Science
Friday, October 28, 2022
3:30 pm - 4:30 pm
Srijan Sengupta, Assistant Professor, NC State University
Disentangling confounding and nonsense associations due to dependence
Sponsor(s):
Statistical Science
Friday, November 04, 2022
3:30 pm - 4:30 pm
Elizabeth Ogburn, Associate Professor, Johns Hopkins University
Representation Learning: A Causal Perspective
Sponsor(s):
Statistical Science
Friday, November 11, 2022
3:30 pm - 4:30 pm
Yixin Wang, Assistant Professor, Statistics, University of Michigan
Interpretable sensitivity analysis for the Baron–Kenny approach to mediation with unmeasured confounding
Friday, November 18, 2022
3:30 pm - 4:30 pm
Peng Ding, University of California, Berkeley
High Dimensional Random Forests Estimation and Inference
**CANCELED**
Friday, December 02, 2022
3:30 pm - 4:30 pm
Yingying Fan, Professor, USC Marshall
Structured prior distributions for the covariance matrix in latent factor models
Sponsor(s):
Statistical Science
Friday, December 09, 2022
3:30 pm - 4:30 pm
Sarah Heaps, Associate Professor, Statistics, Durham University
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