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Sunday, 08/04/2013
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Robust Model Selection via Weighted Cross-Validation
Marianthi Markatou, SUNY, Buffalo; Claudio Agostinelli, Ca'Foscari University
2:05 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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Leveraging as a Paradigm for Statistically Informed Large-Scale Computation
Michael W. Mahoney, Stanford University
3:20 PM
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Inference for the Broken-Stick Model: A Computationally Faster Approach
Ritabrata Das; Moulinath Banerjee, University of Michigan; Bin Nan, University of Michigan
3:20 PM
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Search Algorithm and Selection of Optimal Choice for Focused Preference of Multiple Objectives
Christine Anderson-Cook, Los Alamos National Laboratory; Lu Lu, Los Alamos National Laboratory; Dennis Kon-Jin Lin, The Pennsylvania State University
4:05 PM
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Prediction of Tumor Subtypes by Mixture Modeling of Somatic Mutation Profiles
Lin Hou, Yale School of Public Health; Hongyu Zhao, Yale University
4:05 PM
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Computational Strategies in Regression of Big Data
Ping Ma, University of Illinois at Urbana-Champaign
4:30 PM
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Monday, 08/05/2013
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Statistical Theory and Methods for the Divide and Recombine (D&R) Statistical Approach to Large Complex Data
William S. Cleveland, Purdue Universith
8:35 AM
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Novel and Computationally Efficient Bayesian Methods in Neuroimaging
Theodore Kypraios, University of Nottingham, United Kingdom
8:55 AM
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Sequential Bayesian Inference in Hidden Markov Stochastic Kinetic Models with Application to Detection and Response to Seasonal Epidemics
Junjing Lin, Univeristy of California, Santa Barbara; Michael Ludkovski, University of California, Santa Barbara
9:50 AM
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Bayesian Computation Without Tears
Mani Lakshminarayanan, Merck Research Laboratories
10:35 AM
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The Reactive Point Process Model and Its Application to Electrical Grid Reliability
Seyda Ertekin, MIT; Tyler H. McCormick, University of Washington, Seattle; Cynthia Rudin, Massachusetts Institute of Technology
10:35 AM
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Learning Bayesian Computation from A to Z
Aijun Gao, inVentiv Health Clinical; Fanni Natanegara, Eli Lilly and Company; Jinghui Liu, inVentiv Health Clinical; Wei Zou, inVentiv Health Clinical
10:55 AM
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Practical Bayesian Computation in Clinical Trials
Karen Lynn Price, Eli Lilly and Company; Fang Chen, SAS Institute Inc.; Baoguang Han, Eli Lilly and Company
11:15 AM
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Facilitated Prior Elicitation with the Wolfram CDF
David Kahle, Baylor University; James D. Stamey, Baylor University; Karen Lynn Price, Eli Lilly and Company; Fanni Natanegara, Eli Lilly and Company; Baoguang Han, Eli Lilly and Company
11:35 AM
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Statistics Meets Computation: Efficiency Trade-Offs in High Dimensions
Martin Wainwright, UC Berkeley
2:05 PM
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Relative Fixed-Width Stopping Rules for Markov Chain Monte Carlo Simulations
James M. Flegal, University of California, Riverside
2:25 PM
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Tuesday, 08/06/2013
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Simulation Based Nearest Neighbor Entropy Estimation for (Adaptive) MCMC Evaluation
Didier Chauveau, CNRS; Pierre Vandekerkhove, University Marne la Vallée - CNRS
8:35 AM
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Empirically Comparing the Performance of Local MCMC Algorithms with Pools of Proposals
Mylène Bédard, Université De Montréal
8:50 AM
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Local Step Size Adaptation for Hamiltonian MCMC
Matthew Douglas Hoffman, Adobe Research
9:05 AM
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Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation
Fernando Bonassi, Duke University; Mike West, Duke University
9:55 AM
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Model Selection Criteria Based on Computationally Intensive Estimators of the Expected Optimism
Joseph Cavanaugh, University of Iowa
11:15 AM
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Methods for QMU Using Computational Simulation When Resources Are Limited
Brian Milne Rutherford, Sandia National Laboratories
11:35 AM
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Bayesian Manifold Learning
David B. Dunson, Duke University
11:50 AM
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The Relative Size of Big Data
Bin Yu, Univ of California at Berkeley
2:05 PM
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Approximate Bayesian Computation for a Flexible Class of Bivariate Beta Distributions
Roberto Crackel, UC Riverside; James M. Flegal, University of California, Riverside
2:20 PM
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Matrix-Free Computations for Gaussian Markov Random Fields and Related Spatial Processes on Regular Lattice
Debashis Mondal, The University of Chicago
3:05 PM
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Wednesday, 08/07/2013
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Introducing Bayesian Thinking and Applications to Health Science Researchers
J. Jack Lee, Univ of Texas-M D Anderson Cancer Center
7:01 AM
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Inference for Computationally Intensive Space-Time Disease Models
Murali Haran, The Pennsylvania State U.; Roman Jandarov, University of Washington
9:25 AM
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Likelihood Inference in Small-Area Estimation Using P-Spline and Time Series Models
Farhad Shokoohi, University of Manitoba; Mahmoud Torabi, University of Manitoba
9:35 AM
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Mapping the Intergalactic Medium Using Lyman-Alpha Data and Persistent Homology
Jessi Cisewski, Carnegie Mellon University; Christopher R. Genovese, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University; Rupert Croft, Carnegie Mellon University; Peter Freeman, Carnegie Mellon University; Melih Özbek, Carnegie Mellon University
9:50 AM
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Statistically and Computationally Efficient Estimating Equations for Large Spatial Data Sets
Ying Sun, The University of Chicago; Michael L Stein, The University of Chicago
10:50 AM
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Inferring the Chromosomal Landscape of the First Few Cell Divisions in Colorectal Adenomas
Kimberly D Siegmund, University of Southern California; Paul Marjoram, University of Southern California; Darryl Shibata, University of Southern California
11:05 AM
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Approximate Bayesian Computation Algorithms for Estimating Network Model Parameters
Stephane Aris-Brosou, University of Ottawa
11:35 AM
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An Adaptive Spatial Model for Precipitation Data from Multiple Satellites Over Large Regions
Bani Mallick, Texas A&M
11:50 AM
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Stable and Efficient Computation for Population-Level Integral Projection Models
Alan E. Gelfand, Duke University
2:05 PM
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Computationally Efficient Confidence Intervals for Cross-Validated AUC Estimates
Erin LeDell, UC Berkeley; Maya Petersen, UC Berkeley - Biostatistics; Mark Van der Laan, UC Berkeley - Biostatistics
2:50 PM
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From Fisher to Big Data: Continuities and Discontinuities
Peter Bickel, University of California - Berkeley
4:05 PM
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Thursday, 08/08/2013
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Statistical Methods in Astronomy
Tamas Budavari, Johns Hopkins University
8:35 AM
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Nonparametric Small-Area Estimation
Mahmoud Torabi, University of Manitoba; Farhad Shokoohi, University of Manitoba
8:35 AM
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Computational Techniques for High-Dimensional Nonparametric Bayes
Anjishnu Banerjee
8:35 AM
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RNA Profiling: A New Approach to 'Denoising' Secondary Structure Prediction
Christine Heitsch, Georgia Institute of Technology
8:55 AM
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Efficiency of Markov Chain Monte Carlo for Bayesian Computation
Dawn B Woodard, Cornell University
9:00 AM
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A Sparse-Group Lasso, Computation, and GPUs
Noah Simon, Stanford University
9:35 AM
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Integration of Encode Data to Understand the Regulatory Mechanism of Disease-Associated Variants Identified in GWAS
Dongjun Chung, Yale University; Hongyu Zhao, Yale University
9:35 AM
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Time Course Models for RNA Sequencing Data
Andrew Jaffe, Lieber Institute for Brain Development
9:55 AM
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The Computation of Bivariate Normal and T Probabilities, with Application to Comparisons of Three Normal Means
Jongphil Kim, H. Lee Moffitt Cancer Center & Research Institute
11:20 AM
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Memory Depth Identification for Real-Valued Processes
Zsolt Talata, University of Kansas; Roberto Oliveira, IMPA
11:20 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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