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Events

Found 52 events
OLD CHEMISTRY 116 X 10/15/2018 X
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Stochastic process models for animal trajectories

Sponsor(s): Statistical Science
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Friday, October 19, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Mevin Hooten, Colorado State University
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The Blessings of Multiple Causes

Sponsor(s): Statistical Science
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Friday, October 26, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Dave Blei, Columbia University
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The Little CpG Site That Could (and eight others less so): Developing Effect Size Measures for Mediation Analysis

Sponsor(s): Statistical Science
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Friday, November 02, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Yue Jiang, UNC Department of Biostatistics
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Handling Missing Data in Surveys

Sponsor(s): Statistical Science
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Monday, November 05, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Olanrewaju Michael Akande, Department of Statistical Science, Duke University
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Monte Carlo Methods and Contingency Tables

Sponsor(s): Statistical Science
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Friday, November 09, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Robert Eisinger, Instructor of Mathematics, Statistics, and Computer Science, St. Olaf College
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Using Item Response Theory to Better Understand Forensic Fingerprint Examination

Sponsor(s): Statistical Science
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Monday, November 12, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Amanda Luby, PhD candidate, Carnegie Mellon University.
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Web Scraping in the Statistics Curricula: Challenges and Opportunities

Sponsor(s): Statistical Science
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Wednesday, November 14, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Mine Dogucu, Visiting Professor, Denson University
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Design and analysis of pragmatic clinical trials to optimize clinical outcomes

Sponsor(s): Statistical Science
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Friday, November 16, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Hayley Belli, Post-Doctoral Fellow, Division of Biostatistics New York University Langone School of Medicine
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Covariance change point detection and identification (See abstract for full title)

Sponsor(s): Statistical Science
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Monday, November 19, 2018
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Shawn Santo, Ph.D. Candidate at Michigan State University
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Statistical inference for infectious disease modeling

Sponsor(s): Statistical Science
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Wednesday, January 16, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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
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Friday, January 18, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Simon Tsz Fung Mak, Georgia Tech
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Towards a mathematical theory of development

Sponsor(s): Statistical Science
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Wednesday, January 23, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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
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Friday, January 25, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Jingshu Wang, UPENN
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Scalable Importance Tempering and Bayesian Variable Selection

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

Sponsor(s): Statistical Science
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Friday, February 01, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Wednesday, February 13, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, February 22, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, March 08, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, March 22, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, April 12, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Wednesday, April 17, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, September 06, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, September 13, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, September 20, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, September 27, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, October 04, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, October 11, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, October 18, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, October 25, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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
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Wednesday, October 30, 2019
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4:30 pm - 6:30 pm
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Old Chemistry 116
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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)
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Friday, November 01, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, November 08, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, November 15, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Tingting Zhang, University of Virginia
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Shuffled monotone regression

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
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Friday, November 22, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, December 06, 2019
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Marina Vannucci, Rice University
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Stochastic nets and Bayesian regularization

Sponsor(s): Statistical Science and Information Initiative at Duke (iiD)
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Monday, January 06, 2020
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, January 17, 2020
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Wednesday, January 22, 2020
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, January 24, 2020
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3:30 pm - 4:30 pm
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Old Chemistry 116
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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)
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Friday, January 31, 2020
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3:30 pm - 4:30 pm
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Old Chemistry 116
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Debashis Paul, University of California, Davis
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