Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: gaussian process returned 19 record(s)
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Sunday, 07/30/2017
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Estimating Parameters in Complex Systems with Functional Outputs - a Wavelet-Based Approximate Bayesian Computation Approach
Ruijin Lu, Virginia Polytechnic Institute and State University; Hongxiao Zhu, Assistant Professor, Virginia Tech; Chen Ming, Department of Mechanical Engineering, Virginia Tech; Anupam K. Gupta, Department of Mechanical Engineering, Virginia Tech; Rolf Muller, Department of Mechanical Engineering, Virginia Tech
2:35 PM
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Practical Heteroskedastic Gaussian Process Modeling for Large Simulation Experiments
Mickael Binois; Robert Gramacy, Virginia Tech Department of Statistics; Mike Ludkovski, University of California, Santa Barbara
4:05 PM
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Monday, 07/31/2017
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Computer Model Calibration via the Ensemble Kalman Filter
Seiyon Lee, Pennsylvania State University; Murali Haran, Pennsylvania State University; Klaus Keller, Pennsylvania State University
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Computer Model Calibration via the Ensemble Kalman Filter
Seiyon Lee, Pennsylvania State University; Murali Haran, Pennsylvania State University; Klaus Keller, Pennsylvania State University
8:50 AM
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Large-P Small-N Nonparametric Regression and Additive-Interactive Response Functions
Surya T Tokdar, Duke University
11:00 AM
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Gaussian Processes for Individualized Continuous Treatment Rule Estimation
Pavel Shvechikov, Higher School of Economics; Evgeniy Riabenko, Higher School of Economics
11:05 AM
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Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
Peter Marcy, Los Alamos National Laboratory
11:35 AM
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Gaussian Process Ensembles
Gregory Watson; Donatello Telesca, UCLA
11:50 AM
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Tuesday, 08/01/2017
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Combining Functional Data with Hierarchical Gaussian Process Models
Valerie Poynor, California State University, Fullerton; Stephan Munch, Southwest Fisheries Science Center
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A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
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A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM
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A Sequential Split-Conquer-Combine Approach for Gaussian Process Modeling in Computer Experiments
Ying Hung; Minge Xie, Rutgers University; Chengrui Li, Rutgers University
3:20 PM
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Wednesday, 08/02/2017
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A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process
Pulong Ma, Department of Mathematical Sciences, University of Cincinnati; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati; Emily L. Kang, University of Cincinnati
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Association Study of Children's Methylation and Growth Trajectory Using Functional Mixed Models
Colleen McKendry, North Carolina State University; Arnab Maity, North Carolina State University; Jung-Ying Tzeng, North Carolina State University
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Designing Computer Experiments to Maximize Prediction Accuracy
Erin Leatherman, West Virginia University; Angela Dean, The Ohio State University; Thomas Santner, The Ohio State University
8:55 AM
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Association Study of Children's Methylation and Growth Trajectory Using Functional Mixed Models
Colleen McKendry, North Carolina State University; Arnab Maity, North Carolina State University; Jung-Ying Tzeng, North Carolina State University
10:05 AM
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Analysis of dimension reduction in Gaussian process regression
Minyong Lee, Stanford University; Art Owen, Stanford University
11:00 AM
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Stabilizing Gradient Enhanced Emulators with Sparsity Constraints
Peter Qian, University of Wisconsin-Madison ; Jared Huling, University of Wisconsin-Madison
11:25 AM
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