Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: computation returned 54 record(s)
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Sunday, 07/31/2016
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The PICASSO Package for High Dimensions Nonconvex Sparse Learning in R
Xingguo Li; Tuo Zhao, The Johns Hopkins University; Tong Zhang, Rutgers University; Han Liu, Princeton
2:25 PM
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Top-K Tau-Path Subpopulation Screen for Monotone Association
Joseph S. Verducci, The Ohio State University; Srinath Sampath, Hamilton Capital Management; Adriano Caloiaro, Myatt and Johnson; Wayne Johnson, Myatt and Johnson
3:05 PM
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Detecting Change Points in Climatic Data Using Bayesian Analysis
Cezareo Rodriguez; Andrew Bartlett, Southern Illinois University Edwardsville
4:50 PM
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Scalable Bayes Under Informative Sampling
Terrance Savitsky, Bureau of Labor Statistics; Sanvesh Srivastava, University of Iowa
5:05 PM
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Computational Instability of Inverse of Spatial Covariance Matrices
Chae Young Lim, Seoul National University; Wei-Ying Wu, National Dong Hwa University; Chien-Hung Chen, National Dong Hwa University
5:05 PM
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Accelerating Computation for Bayesian Spatial Modeling
Mary Kathryn Cowles, University of Iowa
5:25 PM
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Monday, 08/01/2016
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A New Resampling Method in Linear Regression Model with Application in Cancer Statistics
Huann-Sheng Chen, National Cancer Institute
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Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
Putu Ayu Sudyanti, Purdue University; Vinayak Rao, Purdue University; Hyonho Chun, Purdue University
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Integrating Diverse Genomics Data Sets to Improve Precision Medicine in Cancer Treatment
Hongyu Zhao, Yale University
8:35 AM
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Social Signal Processing: Building Computational Models of Human Behavior in Digital Environments
William Rand, University of Maryland; David Darmon, Uniformed Services University of the Health Sciences; Michelle Girvan, University of Maryland
8:35 AM
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Volatility Inference Using High-Frequency Financial Data and Efficient Computations
Jian Zou, Worcester Polytechnic Institute
8:35 AM
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Simulation and Optimization Using Minimum Energy Designs
Roshan Joseph Vengazhiyil, Georgia Institute of Technology; Dasgupta Tirthankar, Harvard; Rui Tuo, Chinese Academy of Sciences; Jeff Wu, Georgia Institute of Technology
9:25 AM
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New Computational Approaches to Large/Complex Mixed Effects Models
Norman Matloff, University of California at Davis
9:35 AM
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Exact Parametric and Nonparametric Likelihood-Ratio Tests for Two-Sample Comparisons
Yang Zhao, SUNY Buffalo; Albert Vexler, SUNY Buffalo; Alan Hutson, SUNY Buffalo; Xiwei Chen, SUNY Buffalo
10:05 AM
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A Note on Multiple Imputation Under Informative Sampling
Jae-kwang Kim, Iowa State University; Shu Yang, Harvard
10:35 AM
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Fast Approximation of Small P-Values in Permutation Tests by Partitioning the Permutation Space
Brian Segal; Hui Jiang, University of Michigan; Thomas Braun, University of Michigan
10:35 AM
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A Unified Framework for Variance Component Estimation with Summary Statistics in Genetic Association Studies
Xiang Zhou, University of Michigan
10:35 AM
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Phase Transitions in Semidefinite Programming and Graph Estimation
Andrea Montanari, Stanford University
11:25 AM
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Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
Putu Ayu Sudyanti, Purdue University; Vinayak Rao, Purdue University; Hyonho Chun, Purdue University
11:55 AM
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Overcoming Computational Challenges of Subgroup Identification Using SIDES Method
Ilya Lipkovich, Quintiles; Alex Dmitrienko, Quintiles
2:05 PM
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A Prior for Time-Varying Covariance Matrices
Georgios Papageorgiou, University of London
2:05 PM
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Approximations of Markov Chains and Bayesian Inference
James Johndrow, Duke University; Jonathan Mattingly, Duke University; Sayan Mukherjee, Duke University; David Dunson, Duke University
3:05 PM
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Tuesday, 08/02/2016
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Computationally Tractable Approximate and Smoothed Polya Trees
William Cipolli, Colgate University; Timothy Hanson, University of South Carolina
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Divide and Recombine (DandR) with Tessera: High-Performance Computing for the Analysis of Big Data and High-Complexity Analytics
Yuying Song, Purdue University; Bowei Xi, Purdue University; Ryan Hafen, Hafen Consulting; William S. Cleveland, Purdue University
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Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference
Michael Karcher; Julia Palacios, Harvard; Trevor Bedford, Fred Hutchinson Cancer Research Center; Marc Adam Suchard, University of California at Los Angeles; Vladimir Minin, University of Washington
10:05 AM
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Computational Thinking and Statistical Thinking: Foundations of Data Science
Ani Adhikari, University of California at Berkeley; Michael I. Jordan, University of California at Berkeley
10:35 AM
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Computationally Efficient Question Selection in Adaptive Questionnaires
John Riddles, George Mason University; James E. Gentle, George Mason University
10:50 AM
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Learning Communities: An Emerging Platform for Research in Statistics
Mark Daniel Ward, Purdue University
11:00 AM
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TSCAN: Pseudo-Time Reconstruction and Evaluation in Single-Cell RNA-Seq Analysis
Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:20 PM
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Computationally Efficient Nonparametric Testing
Guang Cheng, Purdue University; Zuofeng Shang, Binghamton University
2:55 PM
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Fiducial Inference: Fisher's Big Blunder or Big Bang?
Keli Liu, Stanford University; Xiao-Li Meng, Harvard
3:20 PM
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Wednesday, 08/03/2016
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Stochastic Network Models with Applications to 'Omics Data
Thomas Bartlett, University College London
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A Computationally Efficient Algorithm for Random Effects Selection in Linear Mixed Models
Mihye Ahn, University of Nevada, Reno; Helen Zhang, University of Arizona; Wenbin Lu, North Carolina State University
8:35 AM
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Random-Effects Models in Genetics: Theoretical and Computational Tools for Modern Applications
Lee Dicker, Rutgers University
8:50 AM
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Bayesian Computation in Dirichlet Process Mixture Models
Erina Paul; Sanjib Basu, Northern Illinois University
9:05 AM
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Stochastic Network Models with Applications to 'Omics Data
Thomas Bartlett, University College London
9:10 AM
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Multi-Resolution Approaches for Big Spatial Data
Matthias Katzfuss, Texas A&M University
9:55 AM
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Approximate Bayesian Computation for Compartmental Epidemic Models: Methods and Software
Grant Donald Brown, University of Iowa; Aaron T. Porter, Colorado School of Mines; Jacob J. Oleson, University of Iowa
10:35 AM
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Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration
Liangliang Zhang, Michigan State University; Tapabrata Maiti, Michigan State University; Chae Young Lim, Seoul National University; Jongeun Choi, Michigan State University; Seungik Baek, Michigan State University
10:50 AM
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Parameter Inference and Model Selection in Deterministic and Stochastic Dynamical Models
Jennifer Hoeting , Colorado State University; Libo Sun, Janssen R&D; Chihoon Lee, Stevens Institute of Technology
10:55 AM
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Statistical Inference for Networks Using Computational Algebraic Geometry
Elizabeth Gross
10:55 AM
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On Safe Semi-Supervised Learning
Kenneth Ryan; Mark Culp, West Virginia University
11:20 AM
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Computational Enhancements to Bayesian Design of Experiments Using Gaussian Processes
Brian Phillip Weaver, Los Alamos National Laboratory
11:50 AM
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On Liu's Simplicial Depth and Randles' Interdirections
Yunfei Wang, The University of Texas at Dallas; Robert Serfling, The University of Texas at Dallas
11:50 AM
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Sufficient Burn-In for the Random-Walk Metropolis Algorithm
David Spade, University of Missouri - Kansas City
11:50 AM
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Statistical Computation with Mixture Data
Shiju Zhang, St. Cloud State University
12:05 PM
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Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times
Peter F. Thall, MD Anderson Cancer Center; Yanxun Xu; Peter Mueller, The University of Texas at Austin; Abdus S. Wahed, University of Pittsburgh
2:05 PM
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Computational Considerations for Applying Nearest Neighbor Gaussian Processes to Large Spatial Data Sets: A Case Study from Forest Biomass Prediction Across Alaska
Sudipto Banerjee, University of California at Los Angeles; Abhirup Datta, University of Minnesota; Bruce Cook, NASA; Andrew Finley, Michigan State University
2:05 PM
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Improved Computation of Full Data Likelihood Estimates in the Cox Proportional Hazards Model
Xiao Fang, The University of Texas Medical Branch; Kristofer Jennings, The University of Texas Medical Branch
2:35 PM
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Visualization and Computation Over Hierarchically Organized Features for Metagenomics and Epigenomics
Hector Corrada Bravo, University of Maryland
3:05 PM
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Thursday, 08/04/2016
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Sharp Computational-Statistical Phase Transitions via Oracle Computational Model
Zhaoran Wang, Princeton; Quanquan Gu, University of Virginia; Han Liu, Princeton
9:35 AM
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Edgeworth Expansion for Summation of Symmetric Statistics and Its Application in Analyzing Massive Data
Liuhua Peng, Iowa State University; Song Xi Chen, Peking University/Iowa State University
10:05 AM
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Coupling of Particle Filters with Applications to Score and Smoothing Estimators
Pierre E. Jacob, Harvard; Fredrik Lindsten, Uppsala University; Thomas Schön, Uppsala University
11:05 AM
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Exact Subset Selection in Regression via Modern Optimization
Rahul Mazumder, MIT
11:15 AM
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