Keyword Search
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CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: gaussian process returned 58 record(s)
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Sunday, 07/28/2019
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Distributed Bayesian Inference for Massive Scale Spatial/Spatio-Temporal Data
Rajarshi Guhaniyogi, University of California, SC
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A Case Study Comparison of Predictive Accuracy and Uncertainty Quantification Among Methods for Analyzing Large Spatial Data
Matthew Heaton, Brigham Young University
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Practical Heteroskedastic Gaussian Process Modeling for Large Simulation Experiments
Robert Gramacy, Virginia Tech
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A Statistical Pipeline for Feature Selection and Association Mapping with 3D Shapes
Lorin Crawford, Brown University
2:05 PM
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Vecchia-Laplace Approximations of Generalized Gaussian Processes for Big Non-Gaussian Spatial Data
Daniel Zilber; Matthias Katzfuss, Texas A & M University
2:05 PM
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Stochastic Dynamics in Behavioral Mobile Health: Joint Modeling of Dynamic Health and Engagement Outcomes
Walter Dempsey, Harvard University
3:20 PM
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Multivariate Unit-Level Models for Non-Gaussian Survey Data Under Informative Sampling Designs
Paul Parker, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau; Ryan Janicki, U.S. Census Bureau
5:25 PM
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Monday, 07/29/2019
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Conjugate Bayesian Multivariate Spatial Models with Accelerated Posterior Sampling Using Conjugate Gradient Method
Lu Zhang, UCLA Biostatistics; Sudipto Banerjee, UCLA
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Bayesian Smoothing and Classification of Sparse Functional Data Using Gaussian Process
Tahmidul Islam, University of South Carolina; Paramita Chakraborty , University of South Carolina; James Lynch, University of South Carolina; John Grego, University of South Carolina
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Extending Nearest-Neighbor GPs for Non-Gridded Data Imputation
Christopher Grubb, Virginia Tech; Shyam Ranganathan, Virginia Tech
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Multi-Scale Vecchia Approximations of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A & M University
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Reconstruction of Alnus Viridis Glacial Refugia Through Data Integration
Mauricio Campos, University of Illinois at Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Shreya Khurana, University of Illinois at Urbana Champaign; Joseph Napier, University of Illinois at Urbana Champaign; Guillaume deLafontaine, Université du Québec à Rimouski UQAR; Feng Sheng Hu, University of Illinois at Urbana Champaign
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Bayesian Analysis of Multifidelity Computer Models with Local Features and Non-Nested Experimental Designs
Bledar Konomi, University of Cincinnati; Georgios Karagiannis, Durham University
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Testing for Homogeneity in Two-Component Mixture Models: a Bayesian Model Comparison Approach
Gyuhyeong Goh, Kansas State University; Wei-Wen Hsu, Kansas State University; David Todem, Michigan State University
9:15 AM
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Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
Andrew Finley, Michigan State University; Shinichiro Shirota, University of California, Los Angeles; Sudipto Banerjee, UCLA
9:55 AM
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Multi-Scale Vecchia Approximations of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A & M University
10:50 AM
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Scalable Gaussian Process Inference with Finite-Data Mean and Variance Guarantees
Tamara Broderick, Massachusetts Institute of Technology
11:00 AM
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Reconstruction of Alnus Viridis Glacial Refugia Through Data Integration
Mauricio Campos, University of Illinois at Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Shreya Khurana, University of Illinois at Urbana Champaign; Joseph Napier, University of Illinois at Urbana Champaign; Guillaume deLafontaine, Université du Québec à Rimouski UQAR; Feng Sheng Hu, University of Illinois at Urbana Champaign
11:05 AM
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A Change-Point Approach to Identify Hierarchical Organization of Topologically Associated Domains in Hi-C Data
Yingru Wu, SUNY Stony Brook; Haipeng Xing, SUNY Stony Brook; Yong Chen, UT Dallas; Michael Q. Zhang, UT Dallas
11:05 AM
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Multivariate Functional Factor Models with Time-Varying Clustering
Philip Andrew White, Duke University; Alan E Gelfand, Duke University
11:35 AM
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Bayesian Analysis of Multifidelity Computer Models with Local Features and Non-Nested Experimental Designs
Bledar Konomi, University of Cincinnati; Georgios Karagiannis, Durham University
12:10 PM
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Bayesian Finite Population Estimates from a Two-Stage Sample with Spatial Correlation
Alec M Chan-Golston, University of California, Los Angeles; Sudipto Banerjee, UCLA; Mark Handcock, University of California, Los Angles
2:15 PM
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Gaussian Process Classification with Network Inputs
Nathan Josephs, Boston University; Eric Kolaczyk, Boston University; Lizhen Lin, University of Notre Dame; Steve Rosenberg, Boston University
2:35 PM
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Gaussian Process Mixtures for Estimating Heterogeneous Treatment Effects
Abbas Zaidi, Duke University - Statistics
3:05 PM
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Tuesday, 07/30/2019
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Model Averaging of Bayesian Additive Regression Trees via Approximate Gaussian Processes
Kijoeng Nam, Merck; Nicholas Henderson, Johns Hopkins University; Dai Feng, AbbVie
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Revisiting the Proton-Radius Problem Using Constrained Gaussian Processes
Shuang Zhou, Texas A&M University; Pablo Giulani, Florida State University; Jorge Piekarewicz, Florida State University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
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Bayesian Finite Population Estimates from a Two-Stage Sample with Spatial Correlation
Alec M Chan-Golston, University of California, Los Angeles; Sudipto Banerjee, UCLA; Mark Handcock, University of California, Los Angles
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Surface Estimation for Multiple Misaligned Data Sets
Ashton Wiens, University of Colorado Boulder; William Kleiber, University of Colorado
8:50 AM
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Function-Based Hypothesis Testing in Uncensored and Censored Two-Sample Location-Scale Models
Sundarraman Subramanian, New Jersey Institute of Technology
8:55 AM
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On Calibration of Parameter-Only Computer Models
Peter Marcy, Los Alamos National Laboratory
10:35 AM
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A Survival Tree Partition Model Using Latent Gaussian Processes and Laplace Approximations
Richard Payne, Eli Lilly & Company; Bani Mallick, Texas A&M University
10:50 AM
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Computer Model Emulation for High-Dimensional Functional Output from OCO-2 Remote Sensing
Anirban Mondal, Case Western Reserve University; Pulong Ma, Duke University; Jonathan Hobbs, Jet Propulsion Laboratory; Emily Lei Kang, University of Cincinnati; Alex Konomi, University of Cincinnati; Joon Jin Song, Baylor University
10:50 AM
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Nonparametric Bayesian Estimation of Heterogeneous Causal Effects Using Real-World Data
Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steve MacEachern, The Ohio State University; Ling Wang, Michigan State University
10:55 AM
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Revisiting the Proton-Radius Problem Using Constrained Gaussian Processes
Shuang Zhou, Texas A&M University; Pablo Giulani, Florida State University; Jorge Piekarewicz, Florida State University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
11:05 AM
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Detecting Changes in Precipitation Extremes at Their Native Scales Over the Contiguous United States
Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California; Michael Wehner, Lawrence Berkeley National Laboratory; Travis O'Brien, Lawrence Berkeley National Laboratory; William Collins, Lawrence Berkeley National Laboratory
11:15 AM
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Spectral-In-Time Formulations for Environmental Spacetime Processes
Charlotte Haley, Argonne National Lab
11:35 AM
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Gaussian Process with Input Location Error and Applications to the Composite Parts Assembly Process
Wenjia Wang, SAMSI; Xiaowei Yue, Virginia Polytechnic Institute and State University; Ben Haaland, University of Utah; C F Jeff Wu, Georgia Inst of Technology
12:05 PM
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Nearest Neighbor Co-Kriging Gaussian Process
Si Cheng, University of Cincinnati; Alex Konomi, University of Cincinnati
3:20 PM
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Wednesday, 07/31/2019
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Bivariate Nonlinear Gaussian Processes with Applications to Brain Signals
Guillermo Granados Garcia, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Wagner Barreto-Souza, Universidade Federal de Minas Gerais
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Bayesian Estimation of Local Volatility with Gaussian Process
Kai Yin, Case Western Reserve University ; Anirban Mondal, Case Western Reserve University
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Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin
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Autoencoders for Emulation and Calibration of Dynamic Compression Experiments
Natalie Klein, Carnegie Mellon University; Earl Christopher Lawrence, Los Alamos National Laboratory
8:55 AM
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Accounting for Spatial Correlation and Between-Patient Heterogeneity in the Multi-Parametric MRI Data
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Lin Zhang, Division of Biostatistics, University of Minnesota; Ethan Leng, Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota; Gregory Metzger, Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota
9:05 AM
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Bayesian Estimation of Local Volatility with Gaussian Process
Kai Yin, Case Western Reserve University ; Anirban Mondal, Case Western Reserve University
9:05 AM
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Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin
9:40 AM
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Power Curve Estimation Using Piecewise Logistic Gaussian Processes
Bani Mallick, Texas A&M University
9:50 AM
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Uncertainty Quantification for Binary Black Hole Formation
Derek Bingham, Simon Fraser University; Luyao Lin, Simon Fraser University; Ilya Mandel, University of Birmingham
9:55 AM
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Bayesian Registration of Functions with a Gaussian Process Prior
Radu Herbei, Ohio State University; Yi Lu, Drew University; Sebastian Kurtek, The Ohio State University
9:55 AM
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Adaptive Ensemble Learning for Spatiotemporal Processes with Calibrated Predictive Uncertainty: a Bayesian Nonparametric Approach
Jeremiah Liu
10:55 AM
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Dirichlet Process Gaussian Process Model for Photometric Redshift
Arindam Fadikar; David Higdon, Virginia Tech; Jonas Chaves-Montero, Argonne National Lab; Salman Habib, Argonne National Lab
2:05 PM
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Computer Model Emulation with High-Dimensional Zero-Inflated Spatial Data: An Application to Storm Surge
Pulong Ma, SAMSI/Duke University
2:20 PM
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Bayesian Multi-Dimensional Functional Data Analysis
John Shamshoian, UCLA School of Public Health; Donatello Telesca, UCLA
2:50 PM
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Thursday, 08/01/2019
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Replication or Exploration? Sequential Design for Stochastic Simulation Experiments
Robert Gramacy, Virginia Tech; Mickael Binois, Argonne National Laboratory; Jiangeng Huang, Virginia Tech; Mike Ludkovsku, UC Santa Barbara
8:35 AM
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Distance-Distributed Design for Gaussian Process Surrogates
Boya Zhang, Virginia Tech; Robert Gramacy, Virginia Tech
9:35 AM
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The Statistical Filter Approach to Constrained Optimization
Herbert Lee, Univ of California, Santa Cruz
10:35 AM
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Bayesian Optimization via Barrier Functions
Tony Pourmohamad, Genentech; Herbert Lee, Univ of California, Santa Cruz
10:55 AM
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Bayesian Optimization for Policy Search via Online-Offline Experimentation
Eytan Bakshy, Facebook; Benjamin Letham, Facebook
11:15 AM
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Prediction Intervals for Out-Of-Sample Forecasts Based on Spline Extrapolation
Jan Gertheiss, Helmut Schmidt University
11:20 AM
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