Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: mean returned 69 record(s)
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Sunday, 07/30/2017
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Variance Estimation for the Sample Mean of Dependent Data Stream
Lei Jin, Texas A&M University -Corpus Christi
2:20 PM
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Investigating Multiple Imputation in Cluster Randomized Trials
Brittney Bailey, The Ohio State University; Rebecca Andridge, Ohio State University; Abigail Shoben, The Ohio State University
2:35 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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Testing High-Dimensional Mean Under Weak Serial Dependence
Runmin Wang, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
3:20 PM
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Assessing Product Downsizing, Upsizing, and Product Churn in the Consumer Price Index Using Nielsen Scanner Data
Jenny FitzGerald, U.S. Bureau of Labor Statistics
3:35 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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Monday, 07/31/2017
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A Study on the Clustering Algorithms for Line Segments
Yoshitomo Akimoto, Chuo University; Toshinari Kamakura, Chuo University
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Detecting Trend in Mean of a Continuous Response: Towards a Default Procedure for Toxicological Dose-Response Applications
David Farrar, US EPA
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
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Comparison of Model selction and Averaging for Collaborative Studies
Andrew Rukhin
8:35 AM
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
9:15 AM
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On Sufficient Dimension Reduction with Missing Responses Through Estimating Equations
Yuexiao Dong, Temple University; Qi Xia, Temple University; Chengyong Tang, Temple University
10:35 AM
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Visualizing Mean, Mean Deviation and Standard Deviation of a Continuous Random Variable
Mamunur Rashid, Mathematics Dept. at DePauw University; Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis
10:35 AM
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Empirical Likelihood Confidence Intervals for Mean Medical Cost
Gengsheng Qin, Georgia State University; Jenny Jeyarajah, Georgia State University
10:35 AM
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Conditional Means of Low-Dimensional Projections from High-Dimensional Data: Explicit Error Bounds
Ivana Milovic, University of Vienna; Hannes Leeb, University of Vienna
11:35 AM
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Nonparametric Group Sequential Methods for Combined Endpoints of Recurrent and Terminal Events from Multiple Follow-up Windows
Meng Xia, University of Michigan; Susan Murray, University of Michigan; Nabihah Tayob, The University of Texas MD Anderson Cancer Center
11:50 AM
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Estimation and Hypothesis Test for Mean Curve with Functional Data by Reproducing Kernel Hilbert Space Methods
Hongbin Fang, Georgetown University; Ming Xiong, Central China Normal University; Ao Yuan, Georgetown University; Ming T Tan, Georgetown University; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH
11:55 AM
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Statistical Inference for Model Parameters in Stochastic Gradient Descent
Yichen Zhang, New York University; Xi Chen, NYU; Jason D. Lee, University of Southern California; Tong Thomson Xin, National University of Singapore
2:25 PM
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Meta-Analysis of Rare Binary Events in Treatment Groups with Unequal Variability
Lie Li; Xinlei Wang, Southern Methodist University
3:05 PM
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Accumulative Error in Group Mean Comparisons Across a Chain of Pairwise Item Response Theory Linkages
Lauren Harrell, National Center for Education Statistics
3:05 PM
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Tuesday, 08/01/2017
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A Robust Estimator for Poisson Mean with Zero-Inflation and Contamination
Xiaotian Wu, Brown University; Yi Zhang, Brown University; Zhijin Wu, Brown University
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Bayesian Nonparametric Inference for Bivariate Mean Residual Life Functions
Taha Monfared, csuf office of graduate studies; Valerie Poynor, California State University, Fullerton
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Estimating an Inverse Mean Subspace
Jiaying Weng; Xiangrong Yin, University of Kentucky
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Power Comparison of Tests of Restricted Mean Survival Time with Log-Rank Test and Generalized Wilcoxon Test Under Various Survival Distributions
Musashi Fukuda, Astellas Pharma Inc.; Yutaka Matsuyama, Department of Biostatistics, School of Public Health, The University of Tokyo
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Dynamic Network Community Discovery
Shiwen Shen; Edsel Aldea Pena, University of South Carolina
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On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College; Yeying Zhu, University of Waterloo; Debashis Ghosh, Colorado School of Public Health
8:35 AM
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Joint Modeling of Mean, Dispersion, and Weights
Katherine Irimata, Arizona State University
8:35 AM
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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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Dynamic Network Community Discovery
Shiwen Shen; Edsel Aldea Pena, University of South Carolina
8:55 AM
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A focused mean squared error approach for selecting tuning parameters in penalized regression
Kristoffer Hellton, University of Oslo; Nils Lid Hjort, University of Oslo
9:05 AM
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Power Comparison of Tests of Restricted Mean Survival Time with Log-Rank Test and Generalized Wilcoxon Test Under Various Survival Distributions
Musashi Fukuda, Astellas Pharma Inc.; Yutaka Matsuyama, Department of Biostatistics, School of Public Health, The University of Tokyo
9:30 AM
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TRUMP: Tuned Ratio Unbiased Mean Predictor
Sarjinder Singh, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
10:05 AM
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Testing the Conditional Mean Independence for Functional Data
Chung Eun Lee, University of Illinois-Urbana Champaign; Xianyang Zhang, Texas A&M University; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
10:05 AM
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Estimating an Inverse Mean Subspace
Jiaying Weng; Xiangrong Yin, University of Kentucky
10:35 AM
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A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods
Ming-Hui Chen, University of Connecticut; Yu-Bo Wang, National Institutes of Health; Lynn Kuo, University of Connecticut; Paul O. Lewis, University of Connecticut
10:35 AM
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The Use of Small N Sequential Multiple Assignment Randomized Trials (SnSMART) in Rare Disease Research
Roy N Tamura, University of South Florida ; Kelley M Kidwell, University of Michigan; Boxian Wei, University of Michigan ; Thomas Braun, University of Michigan
11:00 AM
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Practical and Theoretical Considerations of Panel Effects for the Current Population Survey's Composite Estimator
Greg Erkens, Bureau of Labor Statistics
12:05 PM
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A Versatile Test Based on Restricted Mean Survival Time for Time-To-Event Outcomes
Miki Horiguchi, Kitasato University; Hajime Uno, Dana Farber Cancer Institute
2:20 PM
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A Higher Order Criticism of Higher Criticism
Thomas Porter, The University of Sydney; Michael Stewart, The University of Sydney
2:50 PM
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Wednesday, 08/02/2017
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Some Properties of Inverse Gaussian Distribution
Koji Kanefuji, Institute of Statistical Mathematics
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Non-Parametric Estimation of Marginal Mean Over Time for a General Counting Process
Sudipta Bhattacharya, AstraZeneca
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Statistical Significance of Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon; Sivaraman Balakrishnan, Department of Statistics, CMU
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Approximating Probability Distributions in an Extreme Renewal Process
Percy Brill, University of Windsor; Mei Ling Huang, Brock University
8:50 AM
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Orthogonal Series Density Estimation for Complex Surveys
Shangyuan Ye, Oklahoma State University; Ye Liang, Oklahoma State University; Ahmad A. Ibrahim, Oklahoma State University
8:50 AM
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SUFFICIENT WEIGHTED BOOTSTRAPPING
Khairul Islam, Eastern Michigan University; Sarjinder Singh, Texas A&M University-Kingsville
9:05 AM
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Statistical Significance of Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon; Sivaraman Balakrishnan, Department of Statistics, CMU
9:50 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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Approximate Confidence Regions for Consensus Mean Vector in Heteroscedastic Multivariate One-Way Random Model
Jian Zhao, The EMMES Corporation
10:05 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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Estimation of AUC via Heterogeneous Box-Cox Transformations
Xiaoyu Cai, The George Washington University; Aiyi Liu, National Institutes of Health/NICHD; Zhaohai Li, George Washington University
10:35 AM
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On the Development of a Parametric Approach for the Estimation of Totals and Means for Complex Survey Sample Data in the Presence of Full Response
Ismael Flores Cervantes, Westat
10:50 AM
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A Two-Sample Mean Test for China Haze Pollution Data Over Time
Shuyi Zhang, Peking University; Yumou Qiu, University of Nebraska-Lincoln; Song Xi Chen, Peking University; Iowa State University
11:05 AM
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Multivariate Fay-Herriot Bayesian Estimation of Small Area Means Under Functional Measurement Error
Carolina Franco, U.S. Census Bureau; William Bell, U.S. Census Bureau; Serena Arima, Sapienza University, Rome; Brunero Liseo, Sapienza University, Rome; Gauri Datta, University of Georgia and US Census Bureau
2:05 PM
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Wasserstein Covariance for the Functional Data Analysis of Multivariate Densities
Alexander Petersen, University of California, Santa Barbara; Hans-Georg G Müller, University of California, Davis
2:20 PM
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Ratio of Means vs. Difference of Means Non-Inferiority or Equivalence Tests -Difference in Adjustment for Covariates
Wanjie Sun, FDA; Stella Grosser, FDA
2:35 PM
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Variable Selection in K-Means Clustering
Nicholas Scott Berry, Iowa State University; Ranjan Maitra, Iowa State University
2:35 PM
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Thursday, 08/03/2017
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An Innovative Estimator of Proportion using the Two Decks Randomized Response Model
Augustus Jayaraj, Cornell University; Oluseun Odumade, Deloitte & Touche LLP; Sarjinder Singh, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
8:35 AM
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Instrumental Variable Restrictive Mean Survival Time Models
Xin Wang, University of Michigan; Douglas Earl Schaubel, University of Michigan
8:50 AM
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Likelihood Based Approaches for Missing Data with Imputation Guided by the Worst Observed Responses
Frank Liu, Merck & Co. Inc.; Fang Liu, Merck & Co., Inc.; Devan Mehrotra, Merck & Co. Inc.
9:35 AM
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Eigenvalues of Covariance Matrices of High-Dimensional Time Series
Alexander Aue, University of California, Davis; Haoyang Liu, University of California, Berkeley; Debashis Paul, University of California, Davis
9:50 AM
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Optimizing Acute Myelogenous Leukemia Treatment Regimes via Sequential Conditional Structural Mean Models
Geoffrey Johnson, GlaxoSmithKline; Abdus Wahed, University of Pittsburgh
9:50 AM
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New Insights About High-Dimensional Statistical Inference
Lingzhou Xue, The Pennsylvania State University; Danning Li, Jilin University
9:55 AM
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Modeling Spatially Correlated and Heteroscedastic Errors in Ethiopian Maize Trials
Tigist Damesa, University of Hohenheim; Hans-Peter Piepho, University of Hohenheim; Jens Möhring, University of Hohenheim; Johannes Forkman, Swedish University of Agricultural Sciences
10:35 AM
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Estimation and Inference of Bounded Normal Mean
Yong Seok Park; Jeremy M. G. Taylor, University of Michigan
10:35 AM
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Outlier Robust Estimation of the Total Private Cost of Payment Methods for Large Businesses
Valery Dongmo Jiongo, Bank of Canada
11:05 AM
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Merging K-Means Solutions for Clustering
Semhar Michael, South Dakota State University; Volodymyr Melnykov, The University of Alabama
11:15 AM
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A New Nonparametric Estimator of a Location Shift
Su Chen, University of Memphis
11:20 AM
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Conditional Mean and Quantile Dependence Testing in High Dimension
Xianyang Zhang, Texas A&M University; Shun Yao, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
11:25 AM
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Convex clustering over an undirected graph
Yunzhang Zhu, Ohio State University ; Vincent Vu, The Ohio State University
11:25 AM
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