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OLD CHEMISTRY 116 X 12/10/2018 X
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Statistical inference for infectious disease modeling

Sponsor(s): Statistical Science
Wednesday, January 16, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Po-Ling Loh, University of Wisconsin - Madison
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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
Old Chemistry 116
Simon Tsz Fung Mak, Georgia Tech
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Towards a mathematical theory of development

Sponsor(s): Statistical Science
Wednesday, January 23, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Geoffrey Schiebinger, Postdoctoral fellow in the MIT Center for Statistics and the Klarman Cell Observatory at the Broad Institute of MIT and Harvard
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Data Denoising for Single-cell RNA sequencing

Sponsor(s): Statistical Science
Friday, January 25, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Jingshu Wang, UPENN
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Scalable Importance Tempering and Bayesian Variable Selection

Sponsor(s): Statistical Science
Wednesday, January 30, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Giacomo Zanella, Bocconi University
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Stability-driven deep model interpretation and provably fast MCMC sampling

Sponsor(s): Statistical Science
Friday, February 01, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Yuansi Chen, University of California, Berkeley
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Algebraic Structure in Hidden Variable Models

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Wednesday, February 13, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Elina Robeva, MIT - Massachusetts Institute of Technology
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Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, February 22, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Yang Chen, Assistant Professor of Statistics, Research Assistant Professor for MIDAS, University of Michigan
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Getting your arrays in order with convex optimization

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, March 08, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Eric Chi, Assistant Professor, NC State
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Big (Network) Data: Challenges and Opportunities for Data Science

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, March 22, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
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
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Learning Coexpression Networks from Single Cell Gene Expression

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, April 12, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Andrew McDavid, Assistant Professor, Dept. of Biostatistics and Computational Biology, University of Rochester
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Large-scale evidence generation across a network of databases (LEGEND) for hypertension: real-world, reliable and reproducible

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Wednesday, April 17, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
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
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Statistical Science Faculty Research Presentations

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, September 06, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Mike West, Fan Li, Amy Herring and Hau-Tieng Wu, Duke Statistical Science Faculty
David Blei

Scaling and Generalizing Approximate Bayesian Inference

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, September 13, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
David Blei, Columbia University
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Causal inference under spillover and contagion: structural versus agnostic methods

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, September 20, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Forrest Crawford, Yale School of Public Health
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PageRank on Directed Complex Networks

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, September 27, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Mariana Olvero-Cravioto, UNC
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Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, October 04, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Dr. Tian Zheng, Columbia University
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Spiked Laplacian Graphs - harnessing the spectral graph theory in the Bayesian framework

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, October 11, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Leo Duan, University of Florida
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Bayesian Categorical Matrix Factorization via Double Feature Allocation

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, October 18, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Peter Mueller, University of Texas - Austin
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Sparsity selection in high-dimensional Bayesian vector autoregressive models based on a pseudo-likelihood approach

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, October 25, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Kshitij Khare, University of Florida
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+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
Old Chemistry 116
Jessilyn Dunn
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Kernel tests of goodness-of-fit using Stein's method

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, November 01, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Arthur Gretton - Gatsby Computational Neuroscience Unit - UCL
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An Exact Auxiliary Variable Gibbs Sampler for a Class of Diffusions

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, November 08, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Vinayak Rao, Purdue
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A Bayesian Approach to Mapping Directional Brain Networks

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, November 15, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Tingting Zhang, University of Virginia
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Shuffled monotone regression

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, November 22, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Charles Doss, University of Minnesota
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Edge-Selection Priors for Graphical Models and Applications to Complex Biological Data

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, December 06, 2019
3:30 pm - 4:30 pm
Old Chemistry 116
Marina Vannucci, Rice University
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Stochastic nets and Bayesian regularization

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Monday, January 06, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Joshua Bon, Queensland University of Technology & ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
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'Statistics 101' for Network Data Objects

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, January 17, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Eric Kolaczyk, Boston University
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Latent variable models: from spectral methods to non-convex optimization

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Wednesday, January 22, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Kaizheng Wang, Princeton
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Cancelled-Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, January 24, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Bhramar Mukherjee, University of Michigan
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Testing high-dimensional linear hypotheses through spectral shrinkage

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, January 31, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Debashis Paul, University of California, Davis
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Statistical and computational perspectives on latent variable models

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Wednesday, February 05, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Nhat Ho, Berkeley
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Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, February 07, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Dawn Woodard, Director of Data Science (Maps, Forecasting, and Experimentation),Uber
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Towards seamless carbon cycle prediction: from data assimilation to emergent constraints

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, February 14, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Kevin Bowman, JPL Science, NASA
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Probably Approximately Correct Causal Discovery

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, February 21, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
David Page, Department of Biostatistics and Bioinformatics, Duke University School of Medicine
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Bayes from Moments

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, February 28, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Siddhartha Chib, Washington University, St. Louis
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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
Old Chemistry 116
Eric Laber, NC State University
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Overcoming weakly identifiable mixture models with more exchangeable data

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, March 06, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Long Nguyen, University of Michigan
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CANCELLED-Statistical Science Faculty Research Presentations

**CANCELED**
Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, March 20, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
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CANCELLED-Analyzing Data Full of Holes: Topological Data Analysis

**CANCELED**
Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
Friday, April 03, 2020
3:30 pm - 4:30 pm
Old Chemistry 116
Jessica Cisewski, Yale
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