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Contributed Papers

Advances in Bayesian Nonparametric Modeling and Applications

Tue, Aug 8, 10:30 AM

Sharmistha GuhaChair

Section on Bayesian Statistical Science

7 Presentations

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls

10:35 AM - 10:50 AM

Kate Hu (Harvard School of Public Health)

Co-authors: Dafne Zorzetto (University of Padova), Francesca Dominici (Harvard School of Public Health)

Bayesian Density Regression with Discontinuity

10:50 AM - 11:05 AM

Co-authors: Shuangjie Zhang (UC Santa Cruz), Surya Tokdar (Duke University)

Bayesian Semiparametric Covariate Informed Multivariate Density Deconvolution

11:05 AM - 11:20 AM

Abhra Sarkar (University of Texas at Austin)

Detection of Code Juggling with Spike Count Data Analysis

11:20 AM - 11:35 AM

Yunran Chen (Duke University)

Co-authors: Surya Tokdar (Duke University)

Estimating the Optimal Number of Bayesian Additive Regression Trees

11:35 AM - 11:50 AM

Co-authors: Matthew Pratola, Radu Herbei (The Ohio State University), Edward George (University of Pennsylvania, Wharton), Robert McCulloch (Arizona State University)

Graph Product Partition Models

11:50 AM - 12:05 PM

Changwoo Lee (Texas A&M University)

Co-authors: Huiyan Sang

Model Mixing Using Bayesian Additive Regression Trees

12:05 PM - 12:20 PM

John Yannotty (Ohio State University)

Co-authors: Thomas Santner (The Ohio State University), Richard Furnstahl (The Ohio State University), Matthew Pratola

Session participants

Huiyan Sang

Participant

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