Keyword Search
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Keyword Search Criteria: big data returned 69 record(s)
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Sunday, 07/29/2018
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Big Data Detectives: Improving Human Health Through Informing Policy
Kristin Linn, University of Pennsylvania; Laura Hatfield, Harvard Medical School; Julian Wolfson, University of Minnesota; Sherri Rose, Harvard Medical School
2:05 PM
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Bridge the Gap Between Statistician and Data Analysis Professionals
Ming Li, Amazon
2:05 PM
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Template ICA: Estimating Resting-State Networks from fMRI in Individual Subjects Using Empirical Population Priors
Amanda Mejia, Indiana University; Yikai Wang, Emory University; Brian Caffo, Johns Hopkins University; Ying Guo, Emory University
2:30 PM
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BLMM: Linear Mixed Effects Model for Big Data Using Partial EM Procedure
Jang Ik Cho, Case Western Reserve University; Jiayang Sun, Case Western Reserve University
2:35 PM
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Exploring Clustering Applications in Outlier Detection for Administrative Data Sources
Elizabeth Ayres, Statistics Canada
2:50 PM
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Toward a Sampling Theory for Statistical Network Analysis
Harry Crane, Rutgers
3:05 PM
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Enabling Phenotypic Big Data with PheNorm
Sheng Yu, Tsinghua University; Yumeng Ma, Tsinghua University; Jessica Gronsbell, Harvard T.H. Chan School of Public Health; Tianrun Cai, Brigham and Women's Hospital; Ashwin Ananthakrishnan, Massachusetts General Hospital; Vivian Gainer, Partners HealthCare; Susanne Churchill, Harvard Medical School; Peter Szolovits, Massachusetts Institute of Technology; Shawn Murphy, Partners HealthCare; Isaac Kohane, Harvard Medical School; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard T.H. Chan School of Public Health
3:20 PM
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Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:05 PM
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Effective Story Telling with Dynamic Data Visualizations
Ruth Hummel, SAS Institute, JMP Division; Mia Stephens, SAS Istitute, JMP Division
4:35 PM
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Overcoming Fears (My Own) Teaching Reproducible Research, Big Data and Data Mining in Nursing and Public Health Education
Melinda Higgins, Emory University
4:50 PM
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Clinical Trial Technologies for Precision Medicine: The Current State of the Art
Steven J Schwager, Medidata Solutions; Ruthanna Davi, Medidata Solutions; Therese Dolan, Medidata Solutions; Jeff Wiser, Medidata Solutions
4:50 PM
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Monday, 07/30/2018
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Total Signal Index: Measure of Noise Accumulation in Big Data
Miriam Elman, Oregon Health & Science Univ; Jessica Minnier, Oregon Health & Science University; Xiaohui Chang, Oregon State University; Dongseok Choi, Oregon Health & Science University
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Comparison of Variable Selection Approaches in Predictive Modeling
Jing Zhang, Miami University; Thomas Fisher, Miami University; Qi He, Miami University
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Using the SAS Hash Object for Sample Allocation Procedures with Large Data Sets/Big Data
Julia Batishev, National Opinion Research Center (NORC); Michael Yang, NORC
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A "divide and Conquer" Approach to Estimating Optimal Penalty Parameter in Functional Tikhonov-Regularized Regression Model via Leave-One-Out Cross-Validation
Yichuan Wang, UC Davis; Wolfgang Polonik, University of California, Davis; Alexander Aue, University of California, Davis
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Predictive Big Data Analytics in Mental Disorders Using the UK Biobank
Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan
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A-Optimal Subsampling for Big Data Generalized Estimating Equations
Thomas Cheung, Purdue University - Indianapolis
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Estimation of Space-Time ARMAX Model
Dongping Fang, Zurich
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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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Pathway and Network-Based Integrative Bayesian Modeling of Multiplatform Genomics Data
Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Elizabeth McGuffey, United States Naval Academy; Raymond J. Carroll, Texas A & M University; Min Jin Ha, UT MD Anderson Cancer Center
9:00 AM
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New Frontiers in Measuring the Wellbeing in the Big Data Era
Daniele Toninelli, University of Bergamo; Michela Cameletti, University of Bergamo; Stephan Schlosser, Universität Göttingen
9:20 AM
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The Risk of Re-Identification: An Official Statistics Perspective
Stephen John Penneck, International Statistical Institute
9:25 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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Data Enriched Generalized Linear Methods
Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwaukee ; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Asad Haris, University of Washington
10:35 AM
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How Small Data Can Leverage Big Data, and/or Conversely
Bhramar Mukherjee, University of Michigan
10:55 AM
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Sound Statistical Inference from Big Data in the Insurance Industry
Christopher Haydon Holloman, ICC
11:15 AM
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Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:20 AM
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Using Data to Drive Curriculum Development
Chester Ivan Ismay, DataCamp
2:25 PM
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Tuesday, 07/31/2018
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Small Scale Analysis with Big Data - Enriching the Panel Study
Jonas Beste, Institute for Employment Research; Sebastian Bähr, Employment Research (IAB)
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Assessing Divide-and-Conquer Latent Class Analysis
Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
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Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
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Cloud Computing Approaches to Genomic Data Science
Sean Davis, National Cancer Institute
8:35 AM
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A Comprehensive Germ Cell Tumor Data Commons and Its Application in Risk Classification Model Validation
Bo Ci; Yang Xie, University of Texas Southwestern Medical Center ; Lindsay Frazier, Dana-Farber Cancer Institute; Matthew Murray, Cambridge University Hospitals; James Amatruda, University of Texas Southwestern Medical Center; Mark Krailo, University of Southern California; Samuel Volchenboum, University of Chicago; Bo Yao, University of Texas Southwestern Medical Center; Caihong Xia, Children's Oncology Group; Lin Xu, University of Texas Southwestern Medical Center; Danni Luo, University of Texas Southwestern Medical Center; Shin-Yi Lin, University of Texas Southwestern Medical Center
8:50 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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Big Data as a Measurement Error Problem
Raymond J. Carroll, Texas A & M University; Ya Su, Texas A&M University; Anirban Bhattacharya, Texas A&M University; Yan Zhang, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
9:25 AM
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Big Data Distributed System for Phenome and Genome Management and Analysis in a Large Health System
Wendy Wong, Inova Translational Medicine Institute; Xinyue Liu, Inova Translational Medicine Institute; Prachi Kothiyal, Inova Translational Medicine Institute; Wei Zhu, Inova Translational Medicine Institute; Fang Zhou, Inova Translational Medicine Institute; Shan Gao, Inova Translational Medicine Insitute; Sakthi Madhappan, Inova Translational Medicine Institute; Lin Smith, Inova Translational Medicine Institute; Henry Hunter, Inova Translational Medicine Institute; Aaron Black, Inova Translational Medicine Institute; John F Deeken, Inova Translational Medicine Institute; John E Niederhuber, Inova Translational Medicine Institute
9:55 AM
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Big Data Analysis Points Toward New Cancer Therapeutic Discovery Approach
Bin Chen, UCSF
10:35 AM
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How to Select the Number of Components in PCA and Factor Analysis? Understanding and Improving Permutation Methods
Edgar Dobriban; Art Owen, Stanford University
11:05 AM
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Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
11:50 AM
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Assessing Divide-and-Conquer Latent Class Analysis
Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
12:05 PM
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A Life Cycle View of Statistics
Laura Freeman, Institute for Defense Analysis; Ron S Kenett, KPA Group; John Peterson, Glaxo-Smith-Kline ; Agus Sudjianto, Wells Fargo
2:05 PM
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Reproducibility in Functional Neuroimaging Studies Through the Lens of Multiplicity
Nicole Lazar, University of Georgia
2:25 PM
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A Stochastic Generator of Global Monthly Wind Energy with Tukey G-and-H Autoregressive Processes
Marc G Genton, King Abdullah University of Science and Technology; Jaehong Jeong, KAUST; Yuan Yan, KAUST; Stefano Castruccio, University of Notre Dame
2:30 PM
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Fusing Multiple Existing Space-Time Land Cover Products
Amanda Hering, Baylor University; Nicolás Rodríguez-Jeangros, Colorado School of Mines; John McCray, Colorado School of Mines; Timothy Kaiser, Colorado School of Mines
3:05 PM
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Improving the Quality and Value of Statistical Information: Fourteen Questions on Management
John L. Eltinge, United States Census Bureau
4:05 PM
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Wednesday, 08/01/2018
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Preparing Statistician to Successfully Data Scientist in Big Data Era
Ming Li, Amazon
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Big Data Visualization: User to Data Scientist
Dylan Martin, Purdue University; Vetria Byrd, Purdue University
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Statistical and Computational Efficiency in Big Data Analytics
Eric Laber, North Carlina State University
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Small Data and N-of-1 Trials: Developing Personalized Biostatistics for Personalized Medicine and Individualized Health Care Delivery
Christopher Schmid, Brown University; Deborah Estrin , Cornell Tech; Ying Kuen Ken Cheung, Columbia University; Mark Drangsholt, University of Washington; Richard L. Kravitz, University of California Davis; Xiao-Li Meng, Harvard University
8:35 AM
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Statistical Inference for Big Data via Optimal Subsampling
HaiYing Wang, University of Connecticut
8:35 AM
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A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM
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Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference
Tamara Broderick, Massachusetts Institute of Technology
10:35 AM
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Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM
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A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data
Stefano Castruccio, University of Notre Dame; Hernando Ombao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
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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Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Shihao Yang; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
11:05 AM
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Modernizing Government Statistics While Preserving Principles
Robert Sivinski, Office of Management and Budget; Rochelle (Shelly) Wilkie Martinez, Office of Management and Budget
11:25 AM
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Hierarchical Models with Conditionally Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family
Jonathan R Bradley, Florida State University; Scott H. Holan, University of Missouri/U.S. Census Bureau; Christopher K. Wikle, University of Missouri
11:35 AM
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Correct Model Selection in Big Data Analyzes
Katherine Thompson, University of Kentucky
11:50 AM
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Data Science in a Hurry
Iyue Sung
11:50 AM
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Functional Variance Change Point Analysis for Big Data with an Application to Liver Procurement
Pang Du, Virginia Tech; Zhenguo Gao, Virginia Tech; Ran Jin, Virginia Tech; John Robertson, Virginia Tech
2:25 PM
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Thursday, 08/02/2018
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Inverse Regression for Multivariate Functional Data
Ci-Ren Jiang, Academia Sinica; Lu-Hung Chen, National Chung-Hsing University
8:55 AM
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Balancing Participant Privacy Protection with Data Utility in Large Scale Transportation Studies
Suzie Lee, VTTI
8:55 AM
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Information-Based Subdata Selection for LASSO Regression
Min Yang, University of Illinois at Chicago; Xin Wang, University of Illinois at Chicago
10:35 AM
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Big Data: Professional and Ethical Challenges from the Perspective of Actuaries, Statisticians and Data Scientists
Edward Frees, University of Wisconsin; Jim Guszcza, Deloitte US; Victoria Stodden, University of Illinois
10:35 AM
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Information-Based Subdata Selection
John Stufken, Arizona State University
11:00 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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Embracing Experimental Design Thinking for Large-Scale Statistical Analysis
Peter Chien, University of Wisconsin-Madison
11:25 AM
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Automatic Parallelization of R Code
Clark Fitzgerald, University of California, Davis
11:35 AM
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