Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: computing returned 46 record(s)
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Monday, 07/30/2018
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A Doubly Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
Emily Charlotte Hector, University of Michigan; Peter X.-K. Song, University of Michigan
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Computing Mean Partition and Assessing Uncertainty for Clustering Analysis
Beomseok Seo, Penn State University; Lin Lin, The Pennsylvania State University; Jia Li, Penn State University
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Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
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A Probabilistic Tool for Assessing the Laplace Approximation: Review, Optimization, and GPU Implementation
Shaun McDonald, Simon Fraser University; David Campbell, Simon Fraser University
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Let's Talk About the Weather
Jill Lundell, Utah State University; Brennan Bean, Utah State University; Juergen Symanzik, Utah State University
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Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
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Recreational Statistics at the Junior High/High-School Level
Joy Yang, MIT
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Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
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EDA: A Historical Perspective and a Path Forward
Dianne Cook, Monash University
8:35 AM
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Let's Talk About the Weather
Jill Lundell, Utah State University; Brennan Bean, Utah State University; Juergen Symanzik, Utah State University
8:35 AM
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Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
8:50 AM
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The Extended Reproducibility Phenotype - Interactive Graphics Edition
Gabriel Becker, Genentech Research; Vivek Ramaswamy, Genentech Research; Nolan Nichols, Genentech Research; Altaf Kassam, Genentech Research; Dinakar Kulkarni, Genentech Research
9:05 AM
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Recreational Statistics at the Junior High/High-School Level
Joy Yang, MIT
10:10 AM
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Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
10:15 AM
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Statistically and Numerically Efficient Independence Tests That Are Based on Distances
Xiaoming Huo, Georgia Institute of Technology, ; Cheng Huang, Georgia Institute of Technology
10:55 AM
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Hierarchical Computing for Hierarchical Models in Ecology
Mevin Hooten, Colorado State University
2:45 PM
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Aligning Inference with the Tidyverse: Development of the Infer Package
Andrew Paul Bray, Reed College
3:05 PM
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Tuesday, 07/31/2018
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Julia Versus R
Paul McNicholas, McMaster University
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Cloud Computing Approaches to Genomic Data Science
Sean Davis, National Cancer Institute
8:35 AM
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Random Forests for Big Data
Jean-Michel Poggi, LMO, University Paris Sud; Robin Genuer, ISPED, Univ. Bordeaux ; Nathalie Villa-Vialaneix, MIA-T, INRA of Toulouse; Christine Tuleau-Malot , University Nice, CNRS, LJAD
8:55 AM
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Analyzing Large Scale Genomics Data with Apache Spark and ADAM
Frank Nothaft, Databricks
9:15 AM
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A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data
Ben Baumer, Smith College
10:50 AM
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Prediction for Distributional Outcomes in the Management of High-Performance Computing Input/Output (I/O) Variability
Li Xu, Virginia Tech; Thomas Lux, Virginia Tech; Tyler Chang, Virginia Tech; Bo Li, Virginia Tech; Yili Hong, Virginia Tech; Layne Watson, Virginia Tech; Kirk Cameron, Virginia Tech; Jon Bernard, Virginia Tech
11:05 AM
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Collaborative Cognition for Commodity Price Prediction
Ritwik Chaudhuri, IBM Research, India; Ramasuri Narayanam, IBM Research, India; Manish Kataria, IBM Research, India; Gyana Parija, IBM Research, India
11:50 AM
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Harnessing the Power of the Web via R Clients for Web APIs
Lucy D'Agostino McGowan, Vanderbilt University
2:05 PM
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What You Can, Can't, and Shouldn't Do with Social Media Data
Rachael Tatman, --
2:30 PM
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Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
2:45 PM
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Fully Bayesian Analysis of Hierarchical Count Regression Models
Jarad Niemi, Iowa State University; William Landau, Eli Lilly and Company; Dan Nettleton, Iowa State University
2:50 PM
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Intro Stats and Intro Data Science: Do We Need Both?
Mine Cetinkaya-Rundel, Duke University
3:05 PM
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Wednesday, 08/01/2018
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Statistical and Computational Efficiency in Big Data Analytics
Eric Laber, North Carlina State University
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The CloudyR Project: Statistical Cloud Computing in R with Amazon and Google
Thomas J. Leeper, London School of Economics
10:35 AM
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Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center
Sujata M Patil, Memorial Sloan Kettering Cancer Center; Ushma Neill, Memorial Sloan Kettering Cancer Center; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:55 AM
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Computing Conditional Density of Eigenvalues in High-Dimension
Yunjin Choi, National University of Singapore
10:55 AM
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Distributed Data Science with Sparklyr
Javier Luraschi, RStudio; Kevin Kuo, RStudio
11:05 AM
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Distributed Machine Learning with H2O
Navdeep Gill, H2O.ai
11:35 AM
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Genotype Prediction for All Publicly Available RNA-Seq Data
Siruo Wang, Johns Hopkins Bloomberg SPH; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
11:50 AM
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Bayesian Variable Selection Using Spike and Slab Prior with Application to High-Dimensional EEG Data by Local Modeling
Shariq Mohammed, University of Connecticut; Dipak Kumar Dey, University of Connecticut; Yuping Zhang, University of Connecticut
11:50 AM
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Efficient Construction of Bayes Optimal Designs for Stochastic Process Models
Richard Boys, Newcastle University
2:05 PM
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Continuous Movelet Transformation in Application to Individual Walking Strides Segmentation in Accelerometry Data
Marta Karas, Johns Hopkins Bloomberg SPH; Jaroslaw Harezlak, Indiana University Bloomington; Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; William Fadel, Indiana University; Ciprian Crainiceanu, Johns Hopkins University; Jacek K Urbanek, Johns Hopkins University
3:05 PM
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Advanced Signal Processing Methods in Walking and Body-Posture Detection in Observational Studies
Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; Jacek K Urbanek, Johns Hopkins University; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Nancy Glynn, University of Pittsburgh Graduate School of Public Health; Tamara Harris, National Institute on Aging; Ciprian Crainiceanu, Johns Hopkins University; Jaroslaw Harezlak, Indiana University Bloomington
3:25 PM
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Thursday, 08/02/2018
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Statistical Consulting in the Age of Cognitive Computing, Deep Learning, and AI: Obsolete or Needed Now More Than Ever?
Nikola Andric, Deloitte Consulting LLP
8:35 AM
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Leveraging Adiabatic Quantum Computation for Election Forecasting
Maxwell Henderson, QxBranch
8:35 AM
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Angular Momentum Recoupling and Quantum Computing
Ali Eskandarian
8:55 AM
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Deferred Evaluation for Scalable Computing in R
Michael Lawrence, Genentech
10:55 AM
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The pbdR Project: Distributed Computing with R
Wei-Chen Chen, FDA/CDRH; Drew Schmidt, ORNL; George Ostrouchov, Oak Ridge National Laboratory
11:15 AM
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How Software Affects Humans' Conceptions of Data: a Case Study in R Syntaxes
Amelia McNamara, Smith College
11:35 AM
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