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CC = Baltimore Convention Center, H = Hilton Baltimore
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Keyword Search Criteria: big data returned 62 record(s)
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Sunday, 07/30/2017
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Strengths, Opportunities and Challenges in the Era of BIG Data: An Asian Statistician Perspective
Sastry Pantula, Oregon State University College of Science
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The Biglasso Package: a Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
Yaohui Zeng, University of Iowa; Patrick Breheny, University of Iowa
2:25 PM
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Key Issues in Analyzing Big Data for Mental Health Studies: An Illustration Using Functional Data Analysis Methods for EEG
Catherine Ann Sugar, University of California, Los Angeles
2:30 PM
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Using an Automated News Sentiment Analysis as an Additional Trading Rule for High Frequency Trading Engine
Brahim Brahim, BDV Big Data Visualizations Inc
2:35 PM
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Bayesian Interval Based Dose Finding Designs and a Web-Based Statistical Tool
Yuan Ji, NorthShore University HealthSystem/University of Chicago; Sue-Jane Wang, FDA; Shengjie Yang, NorthShore University HealthSystem
2:45 PM
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Semiparametric Inference for the Means of Heavy-Tailed Distributions
Hedibert Lopes, Insper; Matt Taddy, University of Chicago Booth School of Business; Matt Gardner, eBay
3:05 PM
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A Smoothed Monotonic Regression via L2 Regularization
Oleg Sysoev, Linkoping University; Oleg Burdakov, Linkoping University
3:05 PM
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Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM
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The Path from Big Data to Precision Medicine Is Paved with Statistics
Emma Huang, Janssen R&D; Hae Kyung Im, University of Chicago; Patrick Ryan, Janssen R&D; Haochang Shou, University of Pennsylvania; Vadim Zipunnikov, Johns Hopkins University; Michelle Dunn, National Institutes of Health
4:05 PM
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Real-Time Collection and Analysis of Big EHR Data to Enable Meaningful, Prospective Comparison of Medical Interventions
Cynthia Hau, MAVERIC, Boston VA Healthcare System; Sarah Leatherman, MAVERIC, Boston VA Healthcare System ; Nilla Majahalme, MAVERIC, Boston VA Healthcare System; Amanda Guski, MAVERIC, Boston VA Healthcare System; Jade Riotto, MAVERIC, Boston VA Healthcare System; Ryan Ferguson, MAVERIC, Boston VA Healthcare System
4:50 PM
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Combining Clinical and Nonclinical Big Data from Multiple Sources
Javier Cabrera, Rutgers University; Birol Emir, Pfizer Inc; Demissie Alemayehu, Pfizer Inc
5:25 PM
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Monday, 07/31/2017
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Evolution of Public Sector Data Collections: Going Beyond Traditional Probability Sample Based Data Collection
Donsig Jang, NORC at the University of Chicago
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From Statistician to (Big) Data Scientist: How to Prepare?
Ming Li, Amazon and TAMU - Commerce
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How We Take Advantage of Big Data When Dealing with the Dilemma in Early-Phase Oncology?
Shaoyi Li, Celgene
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Design of Experiment for Big Data Era
Dennis K.J. Lin, Penn State University
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What Is the Future of the Sample Survey for Government Statistics?
Peter Miller, US Census Bureau
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Data Science and Environmental Statistics
Stephan Sain, Unaffiliated
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An Integrated Analysis and Reporting System for Data Science Teams
Iyue Sung, Press Ganey; David Klotz, Press Ganey; Jacob Cheng, Press Ganey; Wei-Han Chen, Press Ganey; Nikolas Matthes, Press Ganey; Peggy Miller, Press Ganey
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Embracing Blessing of Massive Scale in Big Data
Guang Cheng, Purdue; Stanislav Volgushev, Univ of Toronto; Shih-Kang Chao, Purdue
8:35 AM
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The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships
Robert Carver, Stonehill College; David Levine, Baruch College (CUNY); Mia Stephens, SAS Institute/ JMP Division; Scott Toney, Daniels College of Business, Univ of Denver; Billie Anderson, Ferris State University
8:35 AM
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Inference for Big Data
Larry Wasserman, Carnegie Mellon
9:00 AM
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Estimation of Sparse Vector Autoregressive Moving Averages
David S Matteson, Cornell University; Ines Wilms, KU Leuven; Jacob Bien, Cornell University
9:25 AM
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Bayesian Multiscale Spatial Models for Big Data
Raj Guahniyogi, UCSC
9:35 AM
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An Integrated Analysis and Reporting System for Data Science Teams
Iyue Sung, Press Ganey; David Klotz, Press Ganey; Jacob Cheng, Press Ganey; Wei-Han Chen, Press Ganey; Nikolas Matthes, Press Ganey; Peggy Miller, Press Ganey
11:50 AM
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Tuesday, 08/01/2017
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Big Data Noise Accumulation in Classification with Random Forest
Dongseok Choi, Oregon Health & Science Univ; Miriam R Elman, Oregon Health & Science University
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Integrating Data Science and Big Data Concepts and Machine Learning in Drug Safety
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
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Make Big Data Alive: Interactive Data Visualization in Metabolomics Research
Jinxi Liu, The George Washington University; Ella Temprosa, The George Washington University
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A Strategy for Evaluating Goodness-of-Fit for a Logistic Regression Model Using the Hosmer-Lemeshow Test on Samples from a Large Data Set
Michael Pennell, Ohio State University; Adam Bartley, Department of Health Sciences Research, Mayo Clinic; Stanley Lemeshow, College of Public Health, The Ohio State University; Gary Phillips, Center for Biostatistics, The Ohio State University
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First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years
John McKenzie, Babson College
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What's in a Vector? Major Improvements on the Horizon for R and What They Mean for You
Gabriel Becker, Genentech Research; Luke Tierney, University of Iowa
8:35 AM
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A Divide-And-Conquer Approach for Survival Analysis in Big Data
Shou-En Lu, Rutgers Department of Biostatistics; Jerry Q. Cheng, Rutgers Cardiovascular Institute of New Jersey; Minge Xie, Rutgers University
8:50 AM
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Uncertainty Quantification for Remote Sensing Data
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:55 AM
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Big Health Data Using Probabilistic Record Linkage
Bong-Jin Choi, University of North Carolina at Chapel Hill; Ke Meng, University of North Carolina at Chapel Hill; Tzy-Mey Kuo, University of North Carolina at Chapel Hill; Adrian Meyer, University of North Carolina at Chapel Hill; Laura Green, University of North Carolina at Chapel Hill; Christopher Baggett, University of North Carolina at Chapel Hill; Anne-Marie Meyer, University of North Carolina at Chapel Hill; YunKyung Chang, University of North Carolina at Chapel Hill
9:05 AM
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The New Multiple Data Sources Paradigm for Federal Statistics: Progress and Prospects
Robert Groves, Georgetown University; Amy O'Hara, Stanford University; Premkumar Natarajan, University of Southern California; Jerry Reiter, Department of Statistical Science, Duke University
10:35 AM
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Individualized Fusion Learning (IFusion) with Applications to Personalized Inference
Minge Xie, Rutgers University; Jieli Shen, Rutgers University; Regina Liu, Rutgers University
11:00 AM
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First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years
John McKenzie, Babson College
11:15 AM
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Confidence Inference Function in Big Data
Peter XK Song, University of Michigan, ; Ling X.K. Zhou, University of Michigan
2:05 PM
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Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling
Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts; Rochelle E Tractenberg, Georgetown University
2:35 PM
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Wednesday, 08/02/2017
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Making Sense of Abundance of Data Through Collaborations
Ying Ding, University of Pittsburgh
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Space-Time Outlier Identification in a Large Ground Deformation Dataset
Youjiao Yu, Department Statistical Science, Baylor University; Austin Workman, Baylor University; Amanda S. Hering, Baylor University
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Recent Advances in Multiple Change-Point Detection
Piotr Fryzlewicz, London School of Economics; Yining Chen, London School of Economics; Rafal Baranowski, London School of Economics
9:00 AM
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Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM
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Efficient Parallelized K-Means for Clustering Big Data
Geoffrey Thompson, Iowa State University; Ranjan Maitra, Iowa State University
9:55 AM
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Hierarchical Models for Spatial Data with Errors That Are Correlated with the Latent Process
Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
9:55 AM
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Replication or exploration? Sequential design for stochastic simulation experiments.
Robert Gramacy, Virginia Tech Department of Statistics; Bickael Binois, The University of Chicago; Mike Ludkovski, University of California, Santa Barbara
10:35 AM
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Statistical Data Integration Through Networks
Genevera I. Allen, Rice University
10:35 AM
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Quality with Non-Probability Samples, Administrative Records, and 'Found' Data
J. Michael Brick, Westat
10:35 AM
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Data Integration for Heterogenous Data Sets
Alfred Hero, III, University of Michigan
11:00 AM
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Edit Reduction: Identifying Possible Stopping Points and Moving Toward Adaptive Design Techniques
Lisa Kaili Diamond, US Census Bureau; Justin Nguyen, U.S. Census Bureau; Brian Arthur Dumbacher, U.S. Census Bureau
11:20 AM
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Learning from Multiple Views of a Single Set of Observations
Daniela Witten, University of Washington
11:25 AM
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Modernizing the Statistics Curriculum for Non-Statistics Majors to Meet the Demands of Data Science and Analytics
Dick DeVeaux, Williams College; Robert Stine, University of Pennsylvania; Gareth James, University of Southern California; James Cochran, University of Alabama; Kellie Keeling, Daniels College of Business, University of Denver
2:05 PM
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Thursday, 08/03/2017
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Exploring New Estimation Techniques for the Monthly Wholesale Trade Survey
Joanna Lineback, U.S. Census Bureau; Martin Klein, U.S. Census Bureau; Schafer Joseph, U.S. Census Bureau
9:55 AM
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Using Passive Data Collection, System-to-System Data Collection, and Machine Learning to Improve Economic Surveys
Brian Arthur Dumbacher, U.S. Census Bureau; Demetria Hanna, U.S. Census Bureau
10:35 AM
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3D Visualization of Emulators of Climate Model Output on Smart Phones with Virtual Reality
Marc G. Genton, KAUST; Stefano Castruccio, Newcastle University
10:35 AM
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Big Data with Bite Size Solutions
Spencer Lourens, Indiana University
10:35 AM
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What Is the the Best and Safest for Me? Data Science Methods Applied to Medical Products and Treatments
Carolyn Carroll, Stat Tech, Inc.
10:35 AM
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Small and Large Sample Bias of REML Estimates of Genomic Heritability Estimates: An Assessment Using Big Data
Raka Mandal; Gustavo De Los Campos, Michigan State University; Alexander Grueneberg, Michigan State University; Tapabrata Maiti, Michigan State University
10:50 AM
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Using Big Data to Enhance US Census Bureau Economic Data Products
Rebecca Hutchinson, US Census Bureau; Scott Scheleur, US Census Bureau
10:55 AM
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Piecewise Solutions to Big Data
Anuradha Roy, The University of Texas at San Antonio; Henry Chacon, The University of Texas at San Antonio
10:55 AM
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Smartphone-Based Diagnostics of Space-Time Models: From Movies to Apps
Stefano Castruccio, Newcastle University; Marc G. Genton, KAUST
11:15 AM
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Leveraging Machine Learning in the Analysis of Safety Data in Drug Research and Healthcare Informatics
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
11:15 AM
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Model-Based Clustering of Big Data
Paul McNicholas, McMaster University
11:55 AM
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