![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
Statistical inference for infectious disease modeling
Sponsor(s):
Statistical Science
Wednesday, January 16, 2019
3:30 pm - 4:30 pm
Po-Ling Loh, University of Wisconsin - Madison
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
Support points - a new way to reduce big and high-dimensional data
Sponsor(s):
Statistical Science
Friday, January 18, 2019
3:30 pm - 4:30 pm
Simon Tsz Fung Mak, Georgia Tech
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
Towards a mathematical theory of development
Sponsor(s):
Statistical Science
Wednesday, January 23, 2019
3:30 pm - 4:30 pm
Geoffrey Schiebinger, Postdoctoral fellow in the MIT Center for Statistics and the Klarman Cell Observatory at the Broad Institute of MIT and Harvard
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
Data Denoising for Single-cell RNA sequencing
Sponsor(s):
Statistical Science
Friday, January 25, 2019
3:30 pm - 4:30 pm
Jingshu Wang, UPENN
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
Scalable Importance Tempering and Bayesian Variable Selection
Sponsor(s):
Statistical Science
Wednesday, January 30, 2019
3:30 pm - 4:30 pm
Giacomo Zanella, Bocconi University
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
Stability-driven deep model interpretation and provably fast MCMC sampling
Sponsor(s):
Statistical Science
Friday, February 01, 2019
3:30 pm - 4:30 pm
Yuansi Chen, University of California, Berkeley
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
Algebraic Structure in Hidden Variable Models
Wednesday, February 13, 2019
3:30 pm - 4:30 pm
Elina Robeva, MIT - Massachusetts Institute of Technology
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage
Friday, February 22, 2019
3:30 pm - 4:30 pm
Yang Chen, Assistant Professor of Statistics, Research Assistant Professor for MIDAS, University of Michigan
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
Getting your arrays in order with convex optimization
Friday, March 08, 2019
3:30 pm - 4:30 pm
Eric Chi, Assistant Professor, NC State
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
Big (Network) Data: Challenges and Opportunities for Data Science
Friday, March 22, 2019
3:30 pm - 4:30 pm
Patrick J. Wolfe, Frederick L. Hovde Dean of Science and Miller Family Professor of Statistics and Computer Science, Purdue University; IEEE Signal Processing Society Data Science Distinguished Lecturer
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
Learning Coexpression Networks from Single Cell Gene Expression
Friday, April 12, 2019
3:30 pm - 4:30 pm
Andrew McDavid, Assistant Professor, Dept. of Biostatistics and Computational Biology, University of Rochester
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
Large-scale evidence generation across a network of databases (LEGEND) for hypertension: real-world, reliable and reproducible
Wednesday, April 17, 2019
3:30 pm - 4:30 pm
Marc Suchard, Professor in the Departments of Biostatistics, of Biomathematics and of Human Genetics in the UCLA Fielding School of Public Health and David Geffen School of Medicine at UCLA
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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
![David Blei David Blei](/images/2019/20190913/49fbf44de48d8c941df612dca3428f6a-CT-blei-hi-res_20190829035937PM.jpg)
Scaling and Generalizing Approximate Bayesian Inference
Friday, September 13, 2019
3:30 pm - 4:30 pm
David Blei, Columbia University
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
PageRank on Directed Complex Networks
Friday, September 27, 2019
3:30 pm - 4:30 pm
Mariana Olvero-Cravioto, UNC
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
Bayesian Categorical Matrix Factorization via Double Feature Allocation
Friday, October 18, 2019
3:30 pm - 4:30 pm
Peter Mueller, University of Texas - Austin
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
+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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
An Exact Auxiliary Variable Gibbs Sampler for a Class of Diffusions
Friday, November 08, 2019
3:30 pm - 4:30 pm
Vinayak Rao, Purdue
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
A Bayesian Approach to Mapping Directional Brain Networks
Friday, November 15, 2019
3:30 pm - 4:30 pm
Tingting Zhang, University of Virginia
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
Shuffled monotone regression
Friday, November 22, 2019
3:30 pm - 4:30 pm
Charles Doss, University of Minnesota
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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)
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
'Statistics 101' for Network Data Objects
Friday, January 17, 2020
3:30 pm - 4:30 pm
Eric Kolaczyk, Boston University
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
Latent variable models: from spectral methods to non-convex optimization
Wednesday, January 22, 2020
3:30 pm - 4:30 pm
Kaizheng Wang, Princeton
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
Testing high-dimensional linear hypotheses through spectral shrinkage
Friday, January 31, 2020
3:30 pm - 4:30 pm
Debashis Paul, University of California, Davis
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
Statistical and computational perspectives on latent variable models
Wednesday, February 05, 2020
3:30 pm - 4:30 pm
Nhat Ho, Berkeley
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
Bayes from Moments
Friday, February 28, 2020
3:30 pm - 4:30 pm
Siddhartha Chib, Washington University, St. Louis
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
Overcoming weakly identifiable mixture models with more exchangeable data
Friday, March 06, 2020
3:30 pm - 4:30 pm
Long Nguyen, University of Michigan
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
CANCELLED-Statistical Science Faculty Research Presentations
**CANCELED**
Friday, March 20, 2020
3:30 pm - 4:30 pm
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
CANCELLED-Analyzing Data Full of Holes: Topological Data Analysis
**CANCELED**
Friday, April 03, 2020
3:30 pm - 4:30 pm
Jessica Cisewski, Yale
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
CANCELLED-Bayesian Uncertainty
**CANCELED**
Friday, April 10, 2020
3:30 pm - 4:30 pm
Stephen Walker, University of Texas-Austin
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
CANCELLED-Yi Yang, McGill University
**CANCELED**
Friday, April 17, 2020
3:30 pm - 4:30 pm
Yi Yang, McGill University
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-4-52d98822329df448240dfc0cddbe1ab1.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
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 Flyer Arabic Night Flyer](/images/2022/20220413/33e8c3f511195350a9de57e4efd7f151-CT-ArabicNight2022_20220413064053AM.png)
Arabic Night 2022
Sponsor(s):
Asian & Middle Eastern Studies (AMES)
Wednesday, April 13, 2022
6:00 pm
![Photo of Lorin Crawford Photo of Lorin Crawford](/images/2022/20220415/7b72f12d4340bd423800dd0ec5ab692f-CT-Crawford_Lorin_20220318013926PM.jpg)
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
![Photo of Dootika Vats Photo of Dootika Vats](/images/2022/20220509/7e5e6dfd752e2a976325fad62e7569bf-CT-Dootika Vats_20220415073221PM.jpeg)
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.
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-1-7105b4faed2c0e1c39142be6934e0152.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-2-2b60d10c1712a87455b9cf66d1f07292.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-5-a54772c147c5f43a77c12667e931629c.png)
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
![Event Image Event Image](/packs/media/images/v2016/featured-event-3-ead7d4058a95fb4804e32619f6e04634.png)
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
More Events
(60 of 116)