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Sunday, 08/04/2013
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Nonparametric Gaussian Process Models for Censored Longitudinal Data
Sujit Ghosh, North Carolina State University; Liwei Wang, North Carolina State University
2:05 PM
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Prediction and Computer Model Calibration with Multiple Simulators
Joslin Goh, Simon Fraser University
2:25 PM
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Computational Methods for Large Spatial Temporal Data Sets
Huiyan Sang, TAMU; Bohai Zhang, Texas A&M University; Jianhua Z. Huang, Texas A&M University
2:30 PM
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Estimation and Inference for Conditional Distribution Models with Response-Dependent Index Coefficients
Ming-Yueh Huang, National Taiwan University
2:50 PM
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Spatial Process Gradients and Their Use in Sensitivity Analysis for Environmental Processes
Maria Terres, Duke University; Alan E. Gelfand, Duke University
5:05 PM
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Tuesday, 08/06/2013
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Bayesian Analysis of Nonstationary Composite Gaussian Process Models
Casey Davis; Christopher Hans, Ohio State University; Thomas Santner, Ohio State University
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Bayesian Hierarchical Feature Selection of Structured Functional Predictors for Multilevel Functional Data Measured with Error
Yize Zhao, Emory University; Jian Kang, Emory University; Qi Long, Emory University, Department of Biostatistics
8:35 AM
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Objective Bayesian Analysis of Geometrically Anisotropic Spatial Data
Hannes Kazianka, Austrian Central Bank
8:35 AM
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Detecting Differentially Methylated Genomic Regions with Generalized Gaussian Process Regression
Dong Wang, University of Nebraska-Lincoln
9:20 AM
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A Gaussian Process Model for Estimating Within-Subject Variation in Indices of Protein-Energy Malnutrition Among ESRD Patients
Daniel L. Gillen, University of California, Irvine; Tracy Holsclaw, University of California, Irvine; Babak Shahbaba, UC Irvine
9:50 AM
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Heteroscedastic CAR Models for Areally Referenced Temporal Processes with an Application to California Asthma Hospitalization Data
Harrison Quick, University of Minnesota; Bradley P. Carlin, University of Minnesota; Sudipto Banerjee, University of Minnesota
11:15 AM
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Locally Adaptive Bayesian Covariance Regression
Daniele Durante, Department of Statistical Sciences, University of Padua; Bruno Scarpa, Department of Statistical Sciences, University of Padua ; David B. Dunson, Duke University
11:35 AM
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GPUs, Linear Algebra, and Efficient Computing for Gaussian Process Models
Colin Rundel, Duke University
3:05 PM
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Wednesday, 08/07/2013
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Bayesian Nonparametric Finite Population Inference
Yajuan Si, Columbia University; Natesh S. Pillai, Harvard University; Andrew Gelman, Columbia University
9:05 AM
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Monotone Function Estimation for Computer Experiments
Shirin Golchi, Simon Fraser University; Derek Bingham, Simon Fraser University; Hugh A. Chipman, Acadia University; Dave Campbell, Simon Fraser University
10:35 AM
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Causal Analysis of Observational Data with Gaussian Process Potential Outcome Models
Surya T Tokdar, Duke University
11:35 AM
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Multi-Resolution Gaussian Process Models: Parameter Choices
Dorit Hammerling, Statistical and Applied Mathematics Sciences Institute; Douglas Nychka, National Center for Atmospheric Research
2:35 PM
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Statistical Versus Agent-Based Demography: Bridging the Gap with Gaussian Process Emulators
Jakub Bijak, University of Southampton; Jason Hilton, University of Southampton; Eric Silverman, University of Southampton
2:50 PM
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Semiparametric Network Meta-Analysis of Survival Probabilities in Psychiatric Trials
Samprit Banerjee, Weill Cornell Medical College
3:05 PM
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Thursday, 08/08/2013
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Computational Techniques for High-Dimensional Nonparametric Bayes
Anjishnu Banerjee
8:35 AM
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Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes
Bin Zhu, Biostatistics Branch, DCEG, NCI; David B. Dunson, Duke University
9:05 AM
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Gaussian Process--Based Semiparametric Bayesian QTL Mapping for Longitudinal Data
Wonil Chung, The University of North Carolina at Chapel Hill; Fei Zou, The University of North Carolina at Chapel Hill
9:35 AM
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Scalable Maximum Likelihood Calculations for Gaussian Processes
Mihai Anitescu, Argonne National Laboratory; Michael L Stein, The University of Chicago; Jie Chen, Argonne National Laboratory
11:25 AM
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