Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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168
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Mon, 7/31/2017,
10:30 AM -
12:20 PM
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CC-329
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Bayesian Models for Gaussian and Point Processes — Contributed Papers
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Section on Bayesian Statistical Science
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Chair(s): Pulong Ma, Department of Mathematical Sciences, University of Cincinnati
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10:35 AM
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Nonseparable Gaussian Stochastic Process: a Unified View and Computational Strategy
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Mengyang Gu, Johns Hopkins University ; Yanxun Xu, Johns Hopkins University ; Barbara Engelhardt, Princeton University
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10:50 AM
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A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles
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Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics ; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
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11:05 AM
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Gaussian Processes for Individualized Continuous Treatment Rule Estimation
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Pavel Shvechikov, Higher School of Economics ; Evgeniy Riabenko, Higher School of Economics
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11:20 AM
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Handling Missing Data in Self-Exciting Temporal Point Processes
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James Tucker, Sandia National Laboratories ; John Lewis, Sandia National Laboratories ; Kathy Simonson, Sandia National Laboratories ; Johnanthan Lane, Sandia National Laboratories
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11:35 AM
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Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
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Peter Marcy, Los Alamos National Laboratory
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11:50 AM
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Gaussian Process Ensembles
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Gregory Watson ; Donatello Telesca, UCLA
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12:05 PM
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Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
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Jiaxun Chen, University of Missouri-Columbia ; Athanasios Micheas, Univ of Missouri- Columbia ; Scott H. Holan, University of Missouri
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