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 72 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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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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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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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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Monday, 08/01/2016
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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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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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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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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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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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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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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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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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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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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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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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Dynamic Prediction by Landmarking in Clinical Survival Analysis
Hans C. van Houwelingen, Leiden University Medical Center
2:55 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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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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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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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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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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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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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 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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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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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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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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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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Predicting and Preventing Break-Offs in Web Surveys
Felicitas Mittereder, University of Michigan
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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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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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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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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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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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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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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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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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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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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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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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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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