Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: computation returned 40 record(s)
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Sunday, 07/29/2018
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Approximate Bayesian Computation for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University
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Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon University
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A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
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A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
2:20 PM
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:10 PM
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A Computationally Tractable Estimation Procedure for Self-Exciting Spatio-Temporal Point Process Models
James Molyneux, UCLA Statistics; Frederic Paik Schoenberg, UCLA
4:05 PM
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Predictive and Interpretable Bayesian Machine Learning Models for Understanding Microbiome Dynamics
Georg Kurt Gerber, Harvard Medical School / Brigham and Women's Hospital
4:45 PM
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Monday, 07/30/2018
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A Computational, Data-Driven Approach to Game Theory
Michael Alexander Smith, Purdue University; Mark Daniel Ward, Purdue University; Deidra Coleman, Wofford College; Doug G Crabill, Purdue University; Jamylle Carter, Diablo College; Jennifer Travis, Lone Star College; Jack Henry Good, Purdue University; Bret Benesh, College of Saint Benedict and Saint John's University
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Continuous Tempering Through Path Sampling
Yuling Yao, Columbia Univ; Andrew Gelman, Columbia University
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Assessing Therapeutic Equivalence of Brand and Generic Drugs Using Observational Data
Lamar Hunt, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Daniel Scharfstein, Johns Hopkins University; Irene Murimi, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Jodi Segal, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Ravi Varadhan, Johns Hopkins University; Ramin Mojtabai, Johns Hopkins Bloomberg SPH
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Breaking Computational Chicken-And-Egg Loop in Adaptive Sampling and Estimations Using Locality Sensitive Sampling (LSS)
Anshumali Shrivastava, Rice University
8:55 AM
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Theory vs. Practice
Edward George, Wharton, University of Pennsylvania; Trevor Hastie, Stanford University; Elizaveta Levina, University of Michigan; John Petkau, University of British Columbia; Nancy Reid, University of Toronto; Richard J Samworth, University of Cambridge; Robert Tibshirani, Stanford University; Larry Wasserman, Carnegie Mellon University; Bin Yu, UC Berkeley
10:35 AM
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BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM
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Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade
Joseph W Hogan, Brown University School of Public Health
11:35 AM
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Assessing Therapeutic Equivalence of Brand and Generic Drugs Using Observational Data
Lamar Hunt, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Daniel Scharfstein, Johns Hopkins University; Irene Murimi, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Jodi Segal, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Ravi Varadhan, Johns Hopkins University; Ramin Mojtabai, Johns Hopkins Bloomberg SPH
12:10 PM
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Design of Experiments for the Calibration of Computational Models
David Woods, University of Southampton; Yiolanda Englezou, University of Southampton; Timothy Waite, University of Manchester
2:55 PM
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Not All Hierarchical Models Are Created Equal: Interpretation, Model Adequacy and Statistical Computation
Matthew Schofield, University of Otago; Richard Barker, University of Otago
3:25 PM
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Tuesday, 07/31/2018
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Assessment of Treatment Effects in Single Cases and Small Groups: Assumptions, Logic, Algorithm, Computations
Lev Sverdlov
11:20 AM
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Bayesian Analysis of Multinomial Counts from Small Areas and Sub-Areas
Balgobin Nandram, Worcester Polytechnic Institute
11:35 AM
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Bayesian Inference of Spreading Processes on Networks
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:25 PM
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Inferring the Impact of Genetic Variation on Regulatory Networks
Sara Mostafavi
2:45 PM
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Complexity Results for MCMC Derived from Quantitative Bounds
Jun Yang, University of Toronto; Jeffrey S Rosenthal, University of Toronto
3:05 PM
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Hierarchical Nonlinear Spatio-Temporal Agent-Based Models for Collective Animal Movement
Patrick McDermott, Univeristy of Missouri; Christopher K. Wikle, University of Missouri; Joshua Millspaugh, University of Montana
3:20 PM
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Wednesday, 08/01/2018
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PwrEWAS: a Computationally Efficient Tool for Comprehensive Power Estimation in EWAS
Stefan Graw, University of Kansas Medical Center; Devin C Koestler, University of Kansas Medical Center
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Statistical and Computational Efficiency in Big Data Analytics
Eric Laber, North Carlina State University
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Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
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Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
8:35 AM
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A Transformation-Based K-Means Algorithm for Skewed Data
Nicholas S Berry, Iowa State University; Ranjan Maitra, Iowa State University
8:35 AM
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Flexible Characterizations of Nonstationary Space-Time Covariance Functions
Christopher J Geoga, Argonne National Laboratory; Charlotte Haley, Argonne National Lab; Michael Stein, University of Chicago, Dept. of Statistics; Mihai Anitescu, Argonne National Laboratory
8:50 AM
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A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM
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Improving Probabilistic Record Linkage: Accurate Links, Probabilities, and Measures of Uncertainty
Bradley Spahn, Stanford University; Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
9:15 AM
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Bayesian Inference for Geometrically Anisotropic Spatial Random Fields on Regular Lattice
Fan Dai; Somak Dutta, Iowa State University
9:35 AM
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Bayesian Parametric Models Without Likelihoods: Assessing Accumulated Damage in Forest Products
Samuel WK Wong, University of Florida; Jim Zidek, University of British Columbia; Chun-Hao Yang, University of Florida
11:25 AM
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Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM
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Fast Computation of Large-Scale Mixed Effects Models
Norman Matloff, University of California at Davis; Robin Yancey, University of California, Davis
2:20 PM
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Optimal Bayesian Design for Models with Intractable Likelihoods via Machine Learning Methods
Christopher C Drovandi, Queensland University of Technology; Markus Hainy, QUT
3:05 PM
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New Computational Methods for Non/Semiparametric Quantile Regression Models
Bo Kai, College of Charleston; Mian Huang, Shanghai University of Finance and Economics; Weixin Yao, University of California, Riverside; Yuexiao Dong, Temple University
3:20 PM
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