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Sessions Were Renumbered as of May 19.

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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

Keyword Search Criteria: computing returned 31 record(s)
Sunday, 07/31/2016
From Statistical Visual Modeling and Computing to Communicative Learning
Tianfu Wu, University of California at Los Angeles
2:05 PM

A Fully Bayesian Strategy for High-Dimensional Hierarchical Modeling Using Massively Parallel Computing
William Landau, Iowa State University; Jarad Niemi, Iowa State University
2:05 PM

Bayesian Feature Screening for Big Neuroimaging Data via Massively Parallel Computing
Jian Kang, University of Michigan
2:55 PM

Model Fitting with Distributed Data
Balasubramanian Narasimhan Narasimhan, Stanford University
2:55 PM

Thinking with Data Using R and RStudio: Powerful Idioms for Analysts
Nicholas Jon Horton, Amherst College; Randall Pruim, Calvin College; Daniel Kaplan, Macalester College
4:05 PM

Bayesian Dynamic Modeling and Analysis of Streaming Network Data
Xi Chen, Duke University; Kaoru Irie, Duke University; David Banks, Duke University; Robert Haslinger, MaxPoint; Jewell Thomas, MaxPoint; Mike West, Duke University
4:45 PM

Accelerating Computation for Bayesian Spatial Modeling
Mary Kathryn Cowles, University of Iowa
5:25 PM

Monday, 08/01/2016
Large-Scale MCMC Using GPU with Application in Brain Imaging
Yang Yang, University of Minnesota; Galin Jones, University of Minnesota - Twin Cities


On the Convergence Rates of Expected Improvement Methods
llya O. Ryzhov, University of Maryland
8:35 AM

Broom: An R Package for Converting Statistical Modeling Objects Into Tidy Data Frames
David G. Robinson, Stack Overflow
9:50 AM

Enabling Privacy Preserving Machine Learning at Scale
Farinaz Koushanfar, UCSD
11:00 AM

Large-Scale MCMC Using GPU with Application in Brain Imaging
Yang Yang, University of Minnesota; Galin Jones, University of Minnesota - Twin Cities
11:45 AM

Tuesday, 08/02/2016
Empirical Evaluation of Bayesian Network Classifiers
Weihua Shi, SAS Institute


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


Decouple/Recouple: Dynamic Graphical Modeling and Time Series Forecasting
Mike West, Duke University; Lutz Gruber, QuantCo
8:35 AM

Hyperspectral Video Analysis Using Graph-Clustering Methods
Zhaoyi Meng
10:55 AM

Statistical Computing as an Introduction to Data Science
Colin Rundel, Duke University
11:50 AM

Confidence Distribution for Bridging Posterior Probabilistic Inferences
Minge Xie, Rutgers University
2:30 PM

Efficient Formation of Auxiliary Markov Chains for Computing the Distribution of the Number of Structured Motifs
Donald Martin, North Carolina State University
2:35 PM

Wednesday, 08/03/2016
Sampling with Minimal Strata Sample Size Requirements
Stanislav Kolenikov, Abt SRBI; Igor Griva, George Mason University
8:50 AM

Integrating Reproducibility into the Undergraduate Statistics Curriculum
Mine Cetinkaya-Rundel, Duke University
9:35 AM

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

Some Scalable Spatial Modeling Framework for Large Spatial Data
RAJARSHI GUHANIYOGI, University of California at Santa Cruz; Sudipto Banerjee, University of California at Los Angeles
2:30 PM

Viztrackr: Tracking and Discovering Plots via Automatic Semantic Annotations
Gabriel Becker, Genentech Research; Sara E. Moore, University of California at Berkeley; Michael Lawrence, Genentech Research
2:45 PM

Parallel Computing for Spatio-Temporal Bayesian Models
Francisco Beltran, Lawrence Livermore National Laboratory; Bruno Sanso, University of California at Santa Cruz
2:55 PM

Cross-Validated STEPP Analysis for Biomarker Subgroup Determination Problems
Gu Mi, Eli Lilly and Company; Tuan Stevon Nguyen, Eli Lilly and Company; Jonathan Denne, Eli Lilly and Company
3:20 PM

Initial Research on Computing Estimated Measures of Sampling Variability for the Weekly Natural Gas Storage Report
David Kinyon, Energy Information Administration; Samson Adeshiyan, Energy Information Administration; Joseph Conklin, Energy Information Administration; Jose Villar, Energy Information Administration
3:20 PM

Thursday, 08/04/2016
What Julia Can and Can't Already Offer Statisticians
John Myles White, Facebook
8:55 AM

Julia for Data Analysis: Features, Interfaces, and Future Directions
Simon Byrne, Julia Computing; Stefan Karpinski, Julia Computing
9:15 AM

Teaching Data Science Skills in an Introductory CS Course
Olaf Hall-Holt, St. Olaf College
10:35 AM

Build Individualized Treatment Rule on Scale Using Health Care Data with Genomic Information
Jin Zhou, University of Arizona; Haoda Fu; Kevin Doubleday, University of Arizona
10:35 AM

 
 
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