Keyword Search
Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Big Data returned 56 record(s)
|
|
Sunday, 07/28/2019
|
A Case Study Comparison of Predictive Accuracy and Uncertainty Quantification Among Methods for Analyzing Large Spatial Data
Matthew Heaton, Brigham Young University
|
Estimating High Mountain Snow Cover by Blending Satellite Data Products
William Kleiber, University of Colorado
|
An Overview of Functional Magnetic Resonance Imaging: Big Data Meets the Brain
Nicole Lazar, University of Georgia
|
Measuring Gentrification: a Data Driven Approach
Steven Stier; Hend Aljobaily, University of Northern Colorado; Kofi Wagya, University of Northern Colorado; Michael Oduro-Safo, University of Northern Colorado
|
Artificial Intelligence for Data Science
Jason H Moore, University of Pennsylvania; Joel Dudley, Icahn School of Medicine at Mount Sinai; Larry Hunter, University of Colorodo Denver
2:05 PM
|
Bayesian Doubly Robust Adjustment for Finite Population Inference Using Big Data: Application to Naturalistic Driving Studies
Ali Rafei, Institute for Social Research, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
2:20 PM
|
Feature Selection in Large Data with Heteroscedastic Errors
Yiying Fan, Cleveland State University
2:35 PM
|
Relationship Mining in Big Data from Surveys Using Penalization and the Bag-Of-Little-Bootstraps
Snigdhansu Chatterjee, University of Minnesota; Benjamin E. Bagozzi, University of Delaware; Ujjal Kumar Mukherjee, University of Illinois; Xuetong Sun, University of Minnesota
2:55 PM
|
Measuring Gentrification: a Data Driven Approach
Steven Stier; Hend Aljobaily, University of Northern Colorado; Kofi Wagya, University of Northern Colorado; Michael Oduro-Safo, University of Northern Colorado
3:00 PM
|
A Semiparametric Bayesian Spatiotemporal Model for Extreme Value Analysis with Big Data
Arnab Hazra, King Abdullah University of Science and Technology; Raphaël Huser, King Abdullah University of Science and Technology
3:20 PM
|
Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era
Bin Chen, Michigan State University; Haoda Fu, Eli Lilly and Company; Jean Yee Hwa Yang, University of Sydney, Australia; Jing Huang, Veracyte Inc.; Ying Lu, Stanford University
4:05 PM
|
Big Data Bayesian Linear Regression and Variable Selection by Normal-Inverse-Gamma Summation
Hang Qian, The MathWorks, Inc.
4:30 PM
|
Role of Biostatisticians in Transnational Researches in the Era of Big Data
Hua Zhong, New York University
5:25 PM
|
A Sandwich Smoother for Spatio-Temporal Arrays and Time Series
Joshua French, University of Colorado Denver; Piotr Kokoszka, Colorado State University
5:35 PM
|
|
Monday, 07/29/2019
|
Conjugate Bayesian Multivariate Spatial Models with Accelerated Posterior Sampling Using Conjugate Gradient Method
Lu Zhang, UCLA Biostatistics; Sudipto Banerjee, UCLA
|
Data Monitoring and Quality Control for Disease Growth in Longitudinal Medical Imaging Data
Kari Sorge, UCLA; Grace Kim, UCLA; Jihey Lee, UCLA
|
Big Data Poses Bigger Questions in Mental Health Research
Samprit Banerjee, Weill Medical College, Cornell University
|
Representative Approach for Big Data Dimension Reduction with Binary Responses
Xuelong Wang, University of Illinois at Chicago
8:50 AM
|
Optimal Subsampling: Sampling with Replacement Vs Poisson Sampling
HaiYing Wang, University of Connecticut; Jiahui Zou, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
8:55 AM
|
21st Century Equity Markets: Evaluating, Assimilating, and Inte- Grating Information in Real-Time
Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
9:20 AM
|
Subsampled Information Criterion for Bayesian Model Selection in Big Data Setting
Guanyu Hu, University of Connecticut; Lijiang Geng, University of Connecticut ; Yishu Xue, University of Connecticut
9:35 AM
|
Variable Selection for Multinomial Logistic Regression Modeling to Assign One of Six Census Mindsets Using Big Data
Mary H. Mulry, U.S. Census Bureau; Yazmín A. García Trejo, U.S. Census Bureau; Nancy Bates, U.S. Census Bureau
9:50 AM
|
Broad Roles for Administrative and Third-Party Data in the ACS
Jennifer Ortman, U.S. Census Bureau
10:35 AM
|
Preliminary Research Investigating the Use of Administrative Records in the American Community Survey (ACS)
Nikolas Pharris-Ciurej, U.S. Census Bureau
10:55 AM
|
Simulating ACS Housing Estimates Using Administrative Data
Robert Sawyer, U.S. Census Bureau
11:15 AM
|
Incorporating Administrative Data in ACS Editing and Imputation Procedures
Sandra Clark, U.S. Census Bureau
11:55 AM
|
Scalable Bayesian Nonlinear SVMs for Big Data Problems
Sounak Chakraborty, University of Missouri, Columbia
2:50 PM
|
Combining Non-Probability and Probability Survey Samples Through Mass Imputation
Jae-kwang Kim, Iowa State University; Seho Park , Dartmouth University ; Yilin Chen, University of Waterloo; Changbao Wu, University of Waterloo
3:20 PM
|
|
Tuesday, 07/30/2019
|
Advanced Visualization Techniques for Big Data
Scott Wise, JMP (A Division of SAS, Inc)
|
Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples
Paul John Lavrakas, Independent Consultant
|
Visualizing a Cyber Physical System in Drill Down Perspective
Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
|
Using Statistical and Machine Learning Methods to Analyze Response Time Data from Computer-Based Educational Assessments
Bingchen Liu, Educational Testing Service
|
Parameter Estimation for Big Data in Time Series and Random Fields
Adam Sykulski, Lancaster University; Sofia C Olhede, University College London; Arthur Guillaumin, University College London
8:55 AM
|
Visualizing a Cyber Physical System in Drill Down Perspective
Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
9:10 AM
|
How to Deal with Big Data? Understanding Large-Scale Distributed Regression
Edgar Dobriban, University of Pennsylvania; Yue Sheng, University of Pennsylvania
9:35 AM
|
Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples
Paul John Lavrakas, Independent Consultant
10:00 AM
|
Dynamic Stochastic Mirror Descent with Statistical Applications
Shih-Kang Chao, University of Missouri-Columbia; Guang Cheng, Purdue Statistics
10:05 AM
|
Predicting Anti-Government Violence in Mexico with Big Data on Citizen-Government Interactions
Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota; Ujjal Kumar Mukherjee, University of Illinois
10:35 AM
|
Dynamic Systems Approach to Deep Learning with Different Types of Data Sets and Its Application to Prediction of Alzheimer’s Disease
Momiao Xiong, University of Texas School of Public Health; Helen Engle, University of Texas School of Public Health; Yuanyuan Liu, University of Texas School of Public Health; Zhouxuan Li, University of Texas School of Public Health; Qiyang Ge, University of Texas School of Public Health; Shudi Li, University of Texas School of Public Health; Shan Liu, University of Texas School of Public Health
10:35 AM
|
Using Statistical and Machine Learning Methods to Analyze Response Time Data from Computer-Based Educational Assessments
Bingchen Liu, Educational Testing Service
11:10 AM
|
Alignment and Integrative Analysis of Single-Cell RNA-Seq and Single-Cell ATAC-Seq Data
Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:05 PM
|
Use of Social Media Big Data for Predicting the Credit Ratings of Companies
Leonie Tabea Goldmann, University of Edinburgh; Jonathan Crook, University of Edinburgh; Raffaella Calabrese, University of Edinburgh
2:05 PM
|
Methods for Survival Analysis Leveraging Data from Randomized Clinical Trials and Observational Studies
Jean De Dieu Tapsoba, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center
3:05 PM
|
Bi-Clustering of Multivariate Regression Models:
Raja Velu, Syracuse University; Zhaoque Zhou, Syracuse University
3:20 PM
|
|
Thursday, 08/01/2019
|
Vision 2020: Making Impact with Statistics in the Era of Data Science
Hadley Wickham, RStudio; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health; John Quackenbush, Harvard University; Rachel Schutt, BlackRock; Tian Zheng, Columbia University; Xiao-Li Meng, Harvard University
8:35 AM
|
Bayesian Models for Count-Valued Spatio-Temporal Data That Are Correlated with Continuous-Valued Spatio-Temporal Data
Jonathan R. Bradley, Florida State University
8:35 AM
|
Flexible Functional Specification in Hierarchical Bayesian Estimation of Discrete Choices
Kali Chowdhury, University of California, Irvine
8:35 AM
|
Machine Learning and Big Data Analytics at Tencent Games
Qiaolin Chen; Xu Cheng, Tencent; Jiachun Du, Tencent; Botao Li, Tencent; Zeng Zhao, Tencent
8:35 AM
|
For the Love of Crocs: Text Mining Product Reviews
Ruth Hummel, SAS Institute, JMP Division; Mia L. Stephens, SAS Institute / JMP Division
9:05 AM
|
Support Points: An Optimal and Model-Free Method for Subsampling Big Data
Roshan Vengazhiyil, Georgia Institute of Technology; Simon Mak, Georgia Institute of Technology
9:15 AM
|
Providing Open Standards for Mobile Phone Data Statistics
May Offermans, Statistics Netherlands; Albrecht Wirthmann, EUROSTAT; Samantha Watson, Flowminder Foundation
10:35 AM
|
Testing and Estimation of Change-Points in LSHD Data Streams: Asymptotics and Application to Ozone Monitoring
Ansgar Steland, Insitute of Statistics
10:35 AM
|
|
|
