Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
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
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Keyword Search Criteria: Prediction returned 144 record(s)
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Sunday, 07/31/2016
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A Statistical Framework for Using External Information in Updating Prediction Models with New Biomarker Measures
Wenting Cheng, University of Michigan; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
2:20 PM
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Assessing the Prediction Performance of Some Shrinkage Regression Techniques
Yunfan Li, Purdue University; Anindya Bhadra, Purdue University
2:20 PM
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Personalized Time-to-Event Prediction in Intensive Care
Yingying Xu; Joel Dubin, University of Waterloo; Joon Lee, University of Waterloo
2:20 PM
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Efficient Importance Sampling Methods for Estimating Parameters in SGLMMs and Improving Prediction
Vivekananda Roy, Iowa State University
2:45 PM
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Can Early Analysis Predict Alzheimer's Trial Success?
Kun Jin, FDA/CDER
2:50 PM
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Big Data Regression and Prediction for High-Throughput Genomic Data
Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Ben Sherwood, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Fang Du, Johns Hopkins Bloomberg School of Public Health; Jiawei Bai, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:50 PM
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Automated Feature Selection for Prediction with Electronic Medical Records Data
Jessica Minnier, Oregon Health & Science University; Sheng Yu, Tsinghua University; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard
3:05 PM
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Individualized Subgroup Variable Selection
Xiwei Tang, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
3:20 PM
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A Generalized Measure of Uncertainty in Geostatistical Regression Model Selection
Chun-Shu Chen, National Changhua University of Education; Jun Zhu, University of Wisconsin - Madison; Tingjin Chu, Renmin University of China
3:20 PM
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Cross-Validation Methods for Assessing Prediction Models in a Survival Context
Hongying Li, University of California at San Diego; Karen Messer, University of California at San Diego
3:35 PM
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Spatio-Temporal Modeling of Rainfall in the Murray-Darling Basin
Gen Nowak; Alan Welsh, Australian National University; Terry O'Neill, Bond University
3:35 PM
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Enrollment and Event Prediction for Blinded Clinical Trials
Hrishikesh Kulkarni, Cytel; Yannis Jemiai, Cytel
5:05 PM
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Functional Connectivity for Prediction and Classification: Characterization and Estimation
DuBois Bowman, Columbia University
5:20 PM
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Bayesian Modeling of Days in Risk Due to Concentration of PM10 in Kuwait
Fahimah Alawadhi, Kuwait University
5:35 PM
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Monday, 08/01/2016
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A Double EWMA Control Chart for Individual Measurements Based on a Linear Prediction
Rafael Perez Abreu; Jay R. Schaffer, University of Northern Colorado
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Applying Functional Principal Component Analysis to Improve Life Span Prediction from Sleep Properties in the Fly
Luyang Wang, Missouri University of Science and Technology; Courtney Fiebelman, Missouri University of Science and Technology; Rachel Craft, Missouri University of Science and Technology; V A Samaranayake, Missouri University of Science and Technology; Gayla R. Olbricht, Missouri University of Science and Technology; Matthew S. Thimgan, Missouri University of Science and Technology
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Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan
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Prediction with Confidence: A General Framework for Prediction
Jieli Shen, Rutgers University; Regina Liu, Rutgers University; Minge Xie, Rutgers University
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Mineral Species Frequency Distribution and the Prediction of Earth's Missing Minerals
Grethe Hystad, Purdue University; Robert T. Downs, University of Arizona; Robert M. Hazen, Carnegie Institution
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Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies
Konstantin Arbeev, Duke University; Ilya Y. Zhbannikov, Duke University; Liubov S. Arbeeva, Duke University; Igor Akushevich, Duke University; Anatoliy I. Yashin, Duke University
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Using the R Caret Package as a Teaching Tool for Topics in Classification and Prediction Methods: A Case Study
Keith Williams, University of Arkansas for Medical Sciences
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Using Play-by-Play Data to Model, Simulate, and Predict NBA Games
Sebastian Rodriguez, University of California at Merced
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An Online Prediction Framework of Influential Users During Urgent Events on Twitter
Hechao Sun
8:50 AM
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Prediction Based on the Kennedy-O'Hagan Calibration Model: Asymptotic Consistency and Other Properties
Rui Tuo, Chinese Academy of Sciences; Jeff Wu, Georgia Institute of Technology
9:00 AM
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Modeling and Inference for Multivariate Count Time Series
Konstantinos Fokianos, University of Cyprus; Paul Doukhan, University Cergy-Pontoise; Bard Stove, University of Bergen; Dag Tjostheim, University of Bergen
9:00 AM
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Leveraging Functional Annotations in Genetic Risk Prediction for Human Complex Diseases
Yiming Hu, Yale University; Qiongshi Lu, Yale University; Hongyu Zhao, Yale University
9:05 AM
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Spatial Model for Risk Prediction and Subnational Prioritization to Aid Poliovirus Eradication in Pakistan
Laina Mercer, Institute for Disease Modeling; Steve Kroiss, Institute for Disease Modeling; Hil Lyons, Institute for Disease Modeling; Guillaume Chabot-Couture, Institute for Disease Modeling
9:05 AM
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A Ratio-Based Method for Predicting Point Differentials in Sports
Andrew Swift, University of Nebraska - Omaha; Andrew Tew, University of Nebraska - Omaha
9:20 AM
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Generalized Linear Mixed Model to Predict a Spatially Correlated Poisson Variable in the Presence of an Auxiliary Variable, with an Application to the West Nile Virus
Lynette Smith, University of Nebraska Medical Center; David B. Marx, University of Nebraska - Lincoln
9:35 AM
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Using the R Caret Package as a Teaching Tool for Topics in Classification and Prediction Methods: A Case Study
Keith Williams, University of Arkansas for Medical Sciences
9:55 AM
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Mineral Species Frequency Distribution and the Prediction of Earth's Missing Minerals
Grethe Hystad, Purdue University; Robert T. Downs, University of Arizona; Robert M. Hazen, Carnegie Institution
10:00 AM
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Supervised Functional Principal Component Analysis
Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University
10:35 AM
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Predictive Geocoding
Jie Fan, University of Miami; J. Sunil Rao, University of Miami
10:50 AM
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Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan
10:55 AM
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Using Play-by-Play Data to Model, Simulate, and Predict NBA Games
Sebastian Rodriguez, University of California at Merced
11:05 AM
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Prediction with Confidence: A General Framework for Prediction
Jieli Shen, Rutgers University; Regina Liu, Rutgers University; Minge Xie, Rutgers University
11:10 AM
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Empirical Bayes Prediction Under Check Loss
Gourab Mukherjee, University of Southern California
11:15 AM
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Why Significant Variables Aren't Automatically Predictive
Adeline Lo; Herman Chernoff, Harvard University; Tian Zheng, Columbia University; Shaw-Hwa Lo, Columbia University
11:15 AM
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Estimation and Prediction in the Presence of Spatial Confounding
Garritt L. Page, Brigham Young University; Yajun Liu, Wells Fargo Bank; Zhuoqiong He, University of Missouri; Dongchu Sun, University of Missouri
11:25 AM
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Recent Developments in Benefit-Risk Evaluation for Diagnostic Tests
Gene Pennello, FDA/CDRH/OSB/DBS; Norberto Pantoja-Galicia, FDA/CDRH; Scott Evans, Harvard
11:25 AM
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Phenotype Predictions by Genome and In-Between-Omes
Quan Long, University of Calgary
11:35 AM
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Nonlinear Function on Function Regression with Multiple Prediction Curves
Xin Qi, Georgia State University; Ruiyan Luo
11:50 AM
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Sparse Latent Class Regression for Multivariate Binary Data: A Bayesian Approach
Zhenke Wu, The Johns Hopkins University; Scott L. Zeger, The Johns Hopkins University
11:50 AM
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Personalized Screening Intervals for Biomarkers Using Joint Models for Longitudinal and Survival Data
Dimitris Rizopoulos, Erasmus University Medical Center
2:05 PM
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Joint Modeling of Correlated Binary Response and Longitudinal Covariates via Random Forest Applied to Glaucoma Progression Prediction
Juanjuan Fan, San Diego State University; Lucie Sharpsten, United Health Group; Xiaogang Su, The University of Texas at El Paso; Shaban Demirel, Devers Eye Institute; Richard Levine, San Diego State University
2:05 PM
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Optimal Design for Sampling Functional Data
So-Young Park, North Carolina State University; Luo Xiao, North Carolina State University; Jayson Wilbur, Metrum Research Group; Ana-Maria Staicu, North Carolina State University
2:05 PM
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Prediction Risk for Global-Local Shrinkage Regression
Anindya Bhadra, Purdue University; Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute; Yunfan Li, Purdue University; Nicholas Polson, The University of Chicago; Brandon Willard, The University of Chicago
2:05 PM
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A Bayesian GWAS Method Utilizing Haplotype Clusters for a Composite Breed Population
Danielle Wilson-Wells, University of Nebraska - Lincoln; Stephen D. Kachman, University of Nebraska - Lincoln
2:20 PM
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Early Prediction of Alzheimer's Disease Using Longitudinal Volumetric MRI Data from ADNI
Yingjie Li, Michigan State University; Liangliang Zhang, Michigan State University; Tapabrata Maiti, Michigan State University; David C. Zhu, Michigan State University; Jongeun Choi, Michigan State University
2:20 PM
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Functional Data Analysis Approach for Using Longitudinal Biomarker to Predict Disease Progression
Xuelin Huang, MD Anderson Cancer Center; Fangrong Yan, China Pharmaceutical University/MD Anderson Cancer Center; Xiao Lin, China Pharmaceutical University
2:30 PM
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Dynamic Prediction by Landmarking in Clinical Survival Analysis
Hans C. van Houwelingen, Leiden University Medical Center
2:55 PM
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Parametric Bootstrap Mean Square Error Estimates for Different Small Areas in the Annual Survey of Public Employment and Payroll
Bac Tran, U.S. Census Bureau
3:05 PM
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Stochastic Simulation of Predictive Space-Time Scenarios of Wind Speed Using Observations and Physical Models
Julie Bessac, Argonne National Lab; Emil Mihai Constantinescu, Argonne National Lab; Mihai Anitescu, Argonne National Lab
3:05 PM
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Longitudinal Network Prediction with Applications to Network-Based Interventions
Ravi Goyal, Mathematica Policy Research
3:20 PM
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Localized Semiparametric Prediction: A Precision Medicine Approach in a Trauma Patient Population
Sara E. Moore, University of California at Berkeley; Alan E. Hubbard, University of California at Berkeley; Mitchell J. Cohen, University of California at San Francisco
3:35 PM
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Tuesday, 08/02/2016
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Application of Kappa Agreement Statistic as a Diagnostic Tool in Genetic Data Modeling
Kelly Cho, MAVERIC/BWH/HMS; Hongsheng Wu, MAVERIC/WIT; Robert Lew, MAVERIC/BU
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Clustering for Personalized Preference Prediction
Fan Yang, University of Minnesota - Twin Cities; Xiaotong Shen, University of Minnesota
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Challenges of Predicting Individual Risk in Genome-Wide Association Studies
Agnes Martine Nielsen, Technical University of Denmark; Helle Krogh Pedersen, Technical University of Denmark; Ramneek Gupta, Technical University of Denmark; Line Harder Clemmensen, Technical University of Denmark
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A Statistical-Dynamical Approach to Probabilistic Decadal Climate Predictions
Francisco Beltran, Lawrence Livermore National Laboratory
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Nonparametric Prediction of Infectious Disease Incidence with Kernel Conditional Density Estimation
Evan Ray, University of Massachusetts; Krzysztof Sakrejda, University of Massachusetts - Amherst; Stephen A. Lauer, University of Massachusetts - Amherst; Nicholas G. Reich, University of Massachusetts - Amherst
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Hypothesis Testing and Prediction of the Self-Triggering Cox Model for Recurrent Event Data
Jung In Kim; Jason Fine, The University of North Carolina at Chapel Hill; Feng-Chang Lin, The University of North Carolina at Chapel Hill
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Integrative Analysis of Multi-Platform Genomics Data
Shisi He, Georgetown University; Ao Yuan, Georgetown University
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Ranking Hospitals by Direct Standardization to Prioritize Prevention Efforts in Hospital-Associated Infections
Minn Soe
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Comparisons of Statistical Approaches and Procedures in Building Predicting Models to Drug Response from SNPs Through Simulation
Wencan Zhang, Takeda Development Center; Pingye Zhang, University of Southern California; Feng Gao, Takeda
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Depicting Activity Profiles via Multilevel Functional Principal Component Analysis: Association and Prediction
Jiarui Lu, University of Pennsylvania; Lihong Cui, National Institute of Mental Health; Kathleen R. Merikangas , National Institute of Mental Health; Haochang Shou, University of Pennsylvania
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Prediction of Lung Cancer Risk in the CT Arm of the National Lung Screening Trial
Menghan Hu, Brown University; Fenghai Duan, Brown University
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Postoperative Neonatal Mortality Prediction Using Superlearning
Jennifer N. Cooper, Nationwide Children's Hospital Research Institute; Katherine J. Deans, Nationwide Children's Hospital Research Institute; Peter C. Minneci, Nationwide Children's Hospital Research Institute
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Prediction of Lung Cancer Risk in the CT Arm of the National Lung Screening Trial
Menghan Hu, Brown University; Fenghai Duan, Brown University
8:40 AM
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Network Analysis--Based Algorithm Nebula for Risk Evaluation of Chemicals
Huixiao Hong, FDA
8:55 AM
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Integrative Analysis of Multi-Platform Genomics Data
Shisi He, Georgetown University; Ao Yuan, Georgetown University
8:55 AM
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Unsupervised Anomaly Detection in Time Series with Application in Electricity Demand Forecasting
Bei Chen, IBM Research; Mathieu Sinn, IBM Research; Ulrike Fischer , IBM Research
8:55 AM
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Bayesian Inference with Half a Prior
Keli Liu, Stanford University; Xiao-Li Meng, Harvard
9:00 AM
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Depicting Activity Profiles via Multilevel Functional Principal Component Analysis: Association and Prediction
Jiarui Lu, University of Pennsylvania; Lihong Cui, National Institute of Mental Health; Kathleen R. Merikangas , National Institute of Mental Health; Haochang Shou, University of Pennsylvania
9:00 AM
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Ranking Hospitals by Direct Standardization to Prioritize Prevention Efforts in Hospital-Associated Infections
Minn Soe
9:15 AM
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Microbial Dynamical Systems INference Engine (MDSINE)
Georg Gerber, Harvard Medical School; Vanni Bucci, University of Massachusetts - Dartmouth; Belinda Tzen, Harvard Medical School
9:15 AM
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Bayesian Predictive Approach to Concurrent Tailoring of Phase 3 Clinical Trials Intended for Registration
Ming-Dauh Wang, Eli Lilly and Company; Aijun Gao, inVentiv Health; Jinghui Liu, inVentiv Health; Karen Price, Eli Lilly and Company; MaryAnn Morgan-Cox, Eli Lilly and Company; Lei Shen, Eli Lilly and Company
9:15 AM
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Comparisons of Statistical Approaches and Procedures in Building Predicting Models to Drug Response from SNPs Through Simulation
Wencan Zhang, Takeda Development Center; Pingye Zhang, University of Southern California; Feng Gao, Takeda
9:45 AM
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Risk Estimation for High-Dimensional Lasso Regression
Daniel McDonald, Indiana University; Darren Homrighausen, Colorado State University
9:50 AM
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Postoperative Neonatal Mortality Prediction Using Superlearning
Jennifer N. Cooper, Nationwide Children's Hospital Research Institute; Katherine J. Deans, Nationwide Children's Hospital Research Institute; Peter C. Minneci, Nationwide Children's Hospital Research Institute
10:00 AM
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A Group-Specific Recommender System
Xuan Bi; Annie Qu, University of Illinois at Urbana-Champaign; Junhui Wang, City University of Hong Kong; Xiaotong Shen, University of Minnesota
10:35 AM
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Link-Free Identification of Simple Index Variables for the Prediction of Differential Treatment Response
Hongjie Zhu, Sanofi
11:05 AM
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Dynamic Child Growth Prediction: A Comparative Methods Approach
Andrada E. Ivanescu, Montclair State University; Ciprian Crainiceanu, The Johns Hopkins University; William Checkley, The Johns Hopkins University
11:15 AM
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Dynamic Prediction of Alzheimer's Disease Risk Based on Longitudinal Biomarkers and Functional Data
Sheng Luo, The University of Texas at Houston; Kan Li, The University of Texas at Houston
11:55 AM
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Wafer Tomography: Study of Defects and Prediction of Integrated-Circuit Yield
Michael Baron, American University; Emmanuel Yashchin, IBM Research
11:55 AM
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A Case Study in Machine Learning Approaches to Survey Nonresponse Adjustments
Minsun Riddles, Westat; Bob Fay, Westat; David McGrath, Defense Manpower Data Center; Eric Falk, Defense Manpower Data Center
11:55 AM
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Genomic Prediction Models on Wheat Doubled Haploid Population
Xiaowei Hu, Oklahoma State University; Lan Zhu, Oklahoma State University; Charles Chen, Oklahoma State University
12:05 PM
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Spatial Prediction of Naturally Occurring Indoor Gamma Radiation Dose Rates in Great Britain
Mark Peter Little, National Cancer Institute; Pavel Chernyavskiy, National Cancer Institute; Gerald M. Kendall, University of Oxford; Philip S. Rosenberg, National Cancer Institute; Richard Wakeford, University of Manchester
2:05 PM
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Trading Strategy Using Stock Moves Prediction and Sentiment Analysis
Brahim Brahim, Big Data Visualizations Inc.; Sun Makosso-Kallyth, McMaster University
2:20 PM
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Curve-Matching for Child Growth and Development: A Delicate Interplay of Smart Data Processing and Statistical Principles
Stef van Buuren, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community
2:25 PM
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A Prediction Approach to Missing Data from the Exponential Family
Valbona Bejleri, USDA/NASS; Darcy Miller, USDA/NASS; Kay Turner, USDA/NASS
2:35 PM
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Spatiotemporal Mixed Modeling of Multi-Subject fMRI via Method of Moments
Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; David Matteson, Cornell University; R. Nathan Spreng, Cornell University; David Ruppert, Cornell University
2:45 PM
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Link Prediction via Matrix Decomposition by Solving Lyapunov Equations
Yunpeng Zhao, George Mason University
2:50 PM
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Prediction of Brain Functional Connectivity in Resting-State fMRI Data Using a Bayesian Hierarchical Model
Tian Dai, Emory University; Ying Guo, Emory University
3:05 PM
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A Comparison of Spatial Prediction Models for Traffic-Related Air Pollution Data
Zheng Zhu; Roman Jandarov, University of Cincinnati
3:20 PM
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Statistical Learning Toolbox for Prediction
Umashanger Thayasivam, Rowan University
3:20 PM
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Model Estimation and Dynamic Prediction for Subject-Specific Event Probability in Joint Modeling Using Longitudinal Quantile Regression
Ming Yang, The University of Texas Health Science Center at Houston; Sheng Luo, The University of Texas at Houston; Stacia DeSantis, The University of Texas Health Science Center at Houston
3:35 PM
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Wednesday, 08/03/2016
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Members Choice: Hot Topics in Statistical Learning and Data Mining
Glen Wright Colopy, University of Oxford
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Pathway-Structured Predictive Model for Cancer Survival Prediction
Xinyan Zhang, University of Alabama at Birmingham; Yan Li, University of Alabama at Birmingham; Omotomilayo F. Akinyemiju, University of Alabama at Birmingham; Akinyemi I. Ojesina, University of Alabama at Birmingham; Phillip Buckhaults, University of South Carolina; Bo Xu, Southern Research Institute; Nengjun Yi, University of Alabama at Birmingham
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Predicting and Preventing Break-Offs in Web Surveys
Felicitas Mittereder, University of Michigan
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Pathway-Structured Predictive Model for Cancer Survival Prediction
Xinyan Zhang, University of Alabama at Birmingham; Yan Li, University of Alabama at Birmingham; Omotomilayo F. Akinyemiju, University of Alabama at Birmingham; Akinyemi I. Ojesina, University of Alabama at Birmingham; Phillip Buckhaults, University of South Carolina; Bo Xu, Southern Research Institute; Nengjun Yi, University of Alabama at Birmingham
8:55 AM
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Predicting and Preventing Break-Offs in Web Surveys
Felicitas Mittereder, University of Michigan
8:55 AM
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Sparse Variable Selection Aiming at Minimum Prediction Error
Maarten Jansen, Université Libre de Bruxelles
9:00 AM
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Augmented Estimation for T-Year Survival with Censored Regression Models
Yu Zheng, Harvard; Tianxi Cai, Harvard
9:05 AM
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Historical Functional Cox Regression, with an Application to Prediction of Multiple Sclerosis Lesions
Philip Reiss, New York University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Jonathan Gellar, Mathematica Policy Research
9:15 AM
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Improvements in Estimation of Measures of Prediction Increment
Danielle Enserro; Ralph D'Agostino, Boston University; Michael Pencina, Duke University; Martin G. Larson, Boston University
9:20 AM
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Don't Believe What You See: Prediction Paradoxes in Sports
Alexander D'Amour, Harvard
9:35 AM
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Design and Analyses of Two-Phase Studies for Predicting Binary Outcomes
Xinglei Chai, University of Pennsylvania; Jinbo Chen, University of Pennsylvania
9:35 AM
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On the Inherently Bayesian Evaluation of Forecast Quantities
Catherine Forbes, Monash University
9:35 AM
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Asymptotic Distribution of Delta AUC, NRI, and IDI Based on U-Statistics Theory
Olga Demler, Harvard Medical School; Michael Pencina, Duke University; Ralph D'Agostino, Boston University
9:50 AM
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On the Choice of Time Scales in Competing Risks Predictions
Minjung Lee, Kangwon National University; Natalia A. Gouskova, The University of North Carolina at Chapel Hill; Eric J. Feuer, National Cancer Institute; Jason Fine, The University of North Carolina at Chapel Hill
9:50 AM
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Service Life Prediction of Field-Exposed Units Based on Laboratory Accelerated Degradation Test Data
William Q. Meeker, Iowa State University
10:35 AM
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What Is the Best Model to Predict Real Failure of Hedge Funds?
Jose Faias, Catolica Lisbon SBE; Leila Amorim, UFBA
10:35 AM
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Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration
Liangliang Zhang, Michigan State University; Tapabrata Maiti, Michigan State University; Chae Young Lim, Seoul National University; Jongeun Choi, Michigan State University; Seungik Baek, Michigan State University
10:50 AM
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Using Auxiliary Information to Enhance Prediction Models with Many Covariates
Jeremy M. G. Taylor, University of Michigan; Philip Simon Boonstra, University of Michigan; Bhramar Mukherjee, University of Michigan
11:00 AM
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Comparisons of Statistical Methods for Determining Gene Expression Signatures to Predict Prostate Cancer Response
Dirk Moore, Rutgers School of Public Health; Qian Dong, Celgene
11:05 AM
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Integrated Kernel Learning for Genomic Data Mining and Prediction
Xuefeng Wang, SUNY Stony Brook; Zhenyu Zhang, SUNY Stony Brook; Minqin Chen, SUNY Stony Brook
11:25 AM
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Approximate Likelihood Methods for Estimation and Prediction in Gaussian Process Regression Models for Computer Experiments
Ryan Parker, SAS Institute; Brian J. Reich, North Carolina State University; Chris Gotwalt, SAS Institute
11:35 AM
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Systematic Sampling Design with Application to Data Splitting
Redouane Betrouni, George Mason University; James E. Gentle, George Mason University
11:50 AM
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Missing Data and Prediction Models
Sarah Fletcher, Vanderbilt University School of Medicine; Jeffrey David Blume, Vanderbilt University School of Medicine
12:05 PM
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Union of Intersections (UoI) Method for Bootstrap-Based Interpretable Discovery
Sharmodeep Bhattacharyya, Oregon State University; Kristofer Bouchard, Lawrence Berkeley National Laboratory; Michael W. Mahoney, University of California at Berkeley; Farbod Roosta-Khorasani, University of California at Berkeley; Alejandro F. Bujan, University of California at Berkeley
2:05 PM
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Computational Considerations for Applying Nearest Neighbor Gaussian Processes to Large Spatial Data Sets: A Case Study from Forest Biomass Prediction Across Alaska
Sudipto Banerjee, University of California at Los Angeles; Abhirup Datta, University of Minnesota; Bruce Cook, NASA; Andrew Finley, Michigan State University
2:05 PM
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Integrating Cell Line and Patient Genomic Data for Drug Response Prediction
Ker-Chau Li, Institute of Statistical Science, Academia Sinica
2:05 PM
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Prediction-Oriented Marker Selection (PROMISE) with Application to High-Dimensional Regression
Soyeon Kim, MD Anderson Cancer Center; J. Jack Lee, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
2:20 PM
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Selecting an Informative/Discriminating Multivariate Response for Inverse Prediction
John Lewis, Sandia National Laboratories; Edward Thomas, Sandia National Laboratories; Christine Anderson-Cook, Los Alamos National Laboratory; Tom Burr, International Atomic Energy Agency; Michael S. Hamada, Los Alamos National Laboratory; Adah Zhang, Sandia National Laboratories
2:35 PM
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Empirical Bayes Prediction for the Multivariate Newsvendor Loss Function
Lawrence D. Brown, University of Pennsylvania; Gourab Mukherjee, University of Southern California; Paat Rusmevichientong, University of Southern California
3:20 PM
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ThrEEBoost: Thresholded Boosting for Variable Selection and Prediction via Estimating Equations
Benjamin Brown
3:20 PM
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Thursday, 08/04/2016
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Statistical Segmentation of Multiple Sclerosis Lesions on Structural Magnetic Resonance Images
Ciprian Crainiceanu, The Johns Hopkins University
8:35 AM
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Asymptotic Analysis of Covariance Parameter Estimation for Gaussian Processes in the Misspecified Case
Francois Bachoc, University Paul Sabatier
8:50 AM
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Bayesian Dynamic Linear Models for Strategic Asset Allocation
Jared Fisher, The University of Texas McCombs School of Business; Carlos Carvalho, The University of Texas; Davide Pettenuzzo, Brandeis University
8:50 AM
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A Framework for Quantifying Risk Stratification from Diagnostic Tests
Hormuzd Katki, National Cancer Institute
8:55 AM
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A Flexible Spatial Quantile Interpolation with Application to Radar Rainfall Estimation
Joon Jin Song, Baylor University; Soohyun Kwon, Kyungpook National University; GyuWon Lee, Kyungpook National University
9:05 AM
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Dynamic Weighted Average Approach for Predicting Street Parking Availability
Yi Hua, University of Illinois at Chicago; Ouri E. Wolfson, University of Illinois at Chicago; Xudong Lin, South China Agricultural University; Jie Yang, University of Illinois at Chicago
9:20 AM
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Predicting High-Spending Customers Using Semiparametric Quantile Regression
Adam Maidman, University of Minnesota; Lan Wang, University of Minnesota
9:20 AM
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Two-Step Parsimonious Variable Selection for Right-Censored Survival Time Models
Anju Menon, University of Wyoming; A. Gregory DiRienzo
9:20 AM
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Uncertainties in Spatio-Temporal Prediction for Carbon Cycle Science: From Satellite Data to Surface Fluxes
Noel Cressie, University of Wollongong ; Andrew Zammit-Mangion, University of Wollongong; Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
9:25 AM
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Imputing Missing Values for Neuroimaging Data Based on Principal Component Analysis
Lan Kong, Penn State University College of Medicine; Menghan Li, Penn State University College of Medicine
9:35 AM
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Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities
Ivo Dinov, Statistics Online Computational Resource
10:05 AM
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Prediction of Invasive Group A Streptococcus Infections in Non-ABCs Areas in the United States
Yongping Hao, CDC
10:05 AM
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A Commentary on Statistical Assessment of Violence Recidivism Risk
Peter B. Imrey, Cleveland Clinic; Philip Dawid, University of Cambridge
11:00 AM
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A Comparative Study of Penalized Least Squares and Frequentist Model Averaging
Sebastian Ankargren, Uppsala University; Shaobo Jin, Uppsala University
11:05 AM
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Projected Outcomes of Six-Month Delay in Exception Points vs. an Equivalent MELD Score for HCC Liver Transplant Candidates
Guy N. Brock, The Ohio State University; Douglas J. Lorenz, University of Louisville; Sarah K. Alver, University of Louisville; Michael R. Marvin, Geisinger Medical Center
11:05 AM
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New Bootstrap Bias Corrections with Application to Estimation of Prediction Mean Square Error in Small-Area Estimation
Danny Pfeffermann, CBS Israel, Hebrew University/University of Southampton
11:25 AM
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Biomass Prediction Using Density-Dependent Diameter Distribution Models
Erin M. Schliep, University of Missouri; Alan E. Gelfand; James S. Clark, Duke University; Bradley J. Tomasek, Duke University
12:05 PM
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Scalable High-Performance Prediction with XGBoost
Ewa Nowakowska, GfK; Joseph Retzer, ACT Market Research Solutions
12:05 PM
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