Stable Weights that Balance Covariates for Causal Inference and Estimation with Incomplete Outcome Data
Sponsor(s):
Statistical Science
Friday, December 04, 2015
3:30 pm - 4:30 pm
Jose Zubizarreta- Columbia University
Transformation models for multivariate and relational data
Sponsor(s):
Statistical Science
Monday, December 07, 2015
3:30 pm - 4:30 pm
Peter Hoff, University of Washington
The Spike-and-Slab LASSO
Sponsor(s):
Statistical Science
Friday, January 15, 2016
3:30 pm - 4:30 pm
Veronika Rockova, Wharton, University of Pennsylvania
Coverage Inducing Priors in Nonstandard Inference Problems
Sponsor(s):
Statistical Science
Friday, January 22, 2016
3:30 pm - 4:30 pm
Andriy Norets, Brown University
Program in Asian Security Studies (PASS) "Can Taiwan Survive in the Shadow of China?" Emerson Niou (Duke University)
Sponsor(s):
Political Science
Friday, January 29, 2016
10:45 am - 12:00 pm
Emerson Niou Duke University
Network analysis: community detection and graphon estimation
Sponsor(s):
Statistical Science
Friday, January 29, 2016
3:30 pm - 4:30 pm
Chao Gao, Yale
A New Automated Redistricting Simulator Using Markov Chain Monte Carlo
Sponsor(s):
Statistical Science
Friday, February 05, 2016
3:30 pm - 4:30 pm
Kosuke Imai, Princeton University
Consistent and Scalable Bayesian Model Selection for High Dimensional Data
Sponsor(s):
Statistical Science
Monday, February 08, 2016
3:30 pm - 4:30 pm
Naveen Narisetty, University of Michigan
Hospital Mortality Rate Estimation and Standardization for Public Reporting
Sponsor(s):
Statistical Science
Friday, February 12, 2016
3:30 pm - 4:30 pm
Ed George, University of Pennsylvania¿
Scalable Bayesian Inference for Interacting Time Series
Sponsor(s):
Statistical Science
Monday, February 15, 2016
3:30 pm - 4:30 pm
Nicholas Foti, University of Washington
Inference in the presence of network dependence due to contagion
Sponsor(s):
Statistical Science
Friday, February 19, 2016
3:30 pm - 4:30 pm
Betsy Ogburn, Johns Hopkins University
Nearest Neighbor Gaussian Process Models for Massive Spatial and Spatiotemporal Data
Sponsor(s):
Statistical Science
Monday, February 22, 2016
3:30 pm - 4:30 pm
Abhirup Datta, University of Minnesota, Twin Cities
When and why doesn't variational inference work? (And what can we do about it?)
Sponsor(s):
Statistical Science
Friday, February 26, 2016
3:30 pm - 4:30 pm
Matt Hoffman, Adobe Research
Making the cut: improved ranking and selection for large-scale inference
Sponsor(s):
Statistical Science
Friday, March 04, 2016
3:30 pm - 4:30 pm
Michael Newton, University of Wisconsin-Madison
Spherical Factor Analysis for Binary Data: A Look at the Conservative Revolt in the US House of Representatives
Sponsor(s):
Statistical Science
Friday, March 25, 2016
3:30 pm - 4:30 pm
Abel Rodriguez, University of California, Santa Cruz
"Coverage Inducing Priors in Nonstandard Inference Problems"
Sponsor(s):
Statistical Science
Friday, April 01, 2016
3:30 pm - 4:30 pm
Andriy Norets, Brown University
The Archive Literary Festival presents "Process, Genre, and Success", a panel discussion with Duke Creative Writing Faculty
Wednesday, April 06, 2016
7:00 pm - 8:00 pm
Faulkner Fox, Lori Carlson-Hijuelos, Priscilla Wald, Joe Donahue, Joe Porter
The Distributional Rank Aggregation Problem, and an Axiomatic Analysis
Sponsor(s):
Statistical Science
Friday, April 08, 2016
3:30 pm - 4:30 pm
Pradeep Ravikumar, University of Texas at Austin
CANCELLED: Emily Fox, University of Washington
Sponsor(s):
Statistical Science
Friday, April 15, 2016
3:30 pm - 4:30 pm
Emily Fox, University of Washington
A Bayesian information criterion for singular models
Sponsor(s):
Statistical Science
Friday, April 22, 2016
3:30 pm - 4:30 pm
Mathias Drton, University of Washington
Combining Information from Multiple Sources in Bayesian Modeling
Sponsor(s):
Statistical Science
Wednesday, May 18, 2016
10:00 am - 12:00 pm
Tracy Schifeling
Bayesian models for multivariate dynamic survey data
Sponsor(s):
Statistical Science
Friday, September 09, 2016
3:30 pm - 4:30 pm
Amy Herring, UNC Gillings School of Global Public Health
Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with p > N
Sponsor(s):
Statistical Science
Friday, September 16, 2016
3:30 pm - 4:30 pm
Tavis Abrahamsen, Visiting Assistant Professor, Duke University
The Dynamics of Expected Returns: Evidence from Multi-Scale Time Series Modeling
Sponsor(s):
Statistical Science
Friday, September 23, 2016
3:30 pm - 4:30 pm
Daniele Bianchi, Warwick Business School
Large Bayesian time varying parameter models for macroeconomic forecasting
Sponsor(s):
Statistical Science
Friday, September 30, 2016
3:30 pm - 4:30 pm
Gianni Amisano, Federal Reserve
Sparse Graphical Vector Autoregression: A Bayesian Approach
Sponsor(s):
Statistical Science
Friday, October 14, 2016
3:30 pm - 4:30 pm
Daniel Ahelegbey, Boston University
Bayesian inference of intra-tumor heterogeneity based on next-generation sequencing data
Sponsor(s):
Statistical Science
Friday, October 21, 2016
3:30 pm - 4:30 pm
Yuan Ji, University of Chicago
On a class of interacting randomly reinforced processes
Sponsor(s):
Statistical Science
Friday, October 28, 2016
3:30 pm - 4:30 pm
Sonia Petrone, Bocconi University
Sparse Graphs via CRMs and Advances in the Associated MCMC
Sponsor(s):
Statistical Science
Friday, November 04, 2016
3:30 pm - 4:30 pm
Emily Fox, University of Washington
Macroeconomic Predictions with Big Data: The Illusion of Sparsity
Sponsor(s):
Statistical Science
Friday, November 11, 2016
3:30 pm - 4:30 pm
Domenico Giannone, Federal Reserve Bank of New York
Bayesian Predictive Density Combinations for Exchange Rate Models
Sponsor(s):
Statistical Science
Friday, November 18, 2016
3:30 pm - 4:30 pm
Knut Are Aastveit, Norges Bank
Food Culture I: Chef's Table - Bottura
Sponsor(s):
Romance Studies
Wednesday, January 25, 2017
6:30 pm - 8:00 pm
Vishesh Karwa - Harvard University
Sponsor(s):
Statistical Science
Friday, January 27, 2017
3:30 pm - 4:30 pm
Vishesh Karwa - Harvard University
Bayesian Covariance Estimation with Applications in High-throughput Biology
Sponsor(s):
Statistical Science
Friday, February 03, 2017
3:30 pm - 4:30 pm
Alexander Franks, University of Washington
A Bayesian Multivariate Functional Dynamic Linear Model
Sponsor(s):
Statistical Science
Friday, February 10, 2017
3:30 pm - 4:30 pm
Dan Kowal - Cornell
Bayesian Nonparametric Modeling of Network Data
Sponsor(s):
Statistical Science
Friday, February 17, 2017
3:30 pm - 4:30 pm
Daniele Durante - Universita Degli Studi Di Padova
Bayesian Deep Learning and Black Box Variational Inference
Sponsor(s):
Statistical Science
Friday, February 24, 2017
3:30 pm - 4:30 pm
Rajesh Ranganath, Princeton
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