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: SEM returned 129 record(s)
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Sunday, 07/30/2017
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Computational Health Economics for Health Care Spending
Sherri Rose, Harvard Medical School; Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School
2:05 PM
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Acc: An R Package to Process, Visualize, and Analyze Accelerometer Data
Jae Joon Song, University of Texas Health Science Center; Michael Swartz, The University of Texas Health Science Center At Houston, School of Public Health; Matthew G. Cox, University of Texas MD Anderson Cancer Center; Karen Basen-Engquist, University of Texas MD Anderson Cancer Center
2:05 PM
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Semiparametric Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie, Inc.; Peter Mueller, UT Austin; Brad Carlin, University of Minnesota
2:20 PM
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A Copula Model for Analysis of Gap Time Distributions and Illness-Death Processes
Chia-Hui Huang
2:20 PM
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Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models
Jared S Murray, Carnegie Mellon University
2:35 PM
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Audit Persistence in Correspondence Tax Examinations
Anne Parker, Internal Revenue Service; Julie Buckel, Internal Revenue Service
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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Classification Using Ensemble Learning Under Weighted Misclassification Loss
Yizhen Xu, Brown University; Tao Liu, Brown University, Dept of Biostatistics; Rami Kantor , Brown Univeresity School of Medicine; Ann Mwangi, Moi University; Michael J Daniels, University of Texas at Austin; Joseph Hogan, Brown University, Dept of Biostatistics
3:05 PM
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Semiparametric, Parametric and Possibly Sparse Models for Multivariate Long-Range Dependence
Vladas Pipiras, University Od North Carolina At Chaple Hill; Stefanos Kechagias, SAS Institute; Changryong Baek, Sungkyunkwan University
3:25 PM
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Local Nearest Neighbour Classification with Applications to Semi-Supervised Learning
Timothy I. Cannings, Universtiy of Southern California; Thomas Berrett, University of Cambridge; Richard J. Samworth, Statistical Laboratory, University of Cambridge
4:05 PM
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Disseminating Agricultural Information via Twitter: Data Mining Content and Views
Tara Murphy, USDA NASS; Tyler Wilson, USDA NASS
4:05 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Bayesian Analysis of Infant's Growth Dynamics with In Utero Exposure to Environmental Toxicants
Jonggyu Baek, University of Michigan, Biostatistics; Bin Zhu, NIH/NCI-DCEG-Biostatistics Branch; Peter XK Song, University of Michigan,
4:35 PM
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Proportional Likelihood Ratio Models for Competing Risks
Chiung-Yu Huang, Johns Hopkins University; Tony Sit, Chinese University of Hong Kong; Gongjun Xu, University of Michigan
4:45 PM
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Censoring Unbiased Regression Trees and Ensembles
Robert Strawderman, University of Rochester
4:55 PM
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T. W. Anderson's Seminal Contributions to Econometrics
Cheng Hsiao, University of Southern California
4:55 PM
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An Overview of Past, Present, and Future Developments in the Analysis of Recurrent Events and Competing Risks Data
Edsel Aldea Pena, University of South Carolina
4:55 PM
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Semi-Analytical Approach for Designing Accelerated Degradation Tests
Sheng-T Tseng, National Tsing-Hua University; I-Chen Lee; Yili Hong, Virginia Tech
4:55 PM
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ESTIMATION of AVERAGE TREATMENT EFFECTS AMONG MULTIPLE TREATMENT GROUPS by USING ADAPTIVE ENSEMBLE METHOD
Maiying Kong, University of Louisville
5:05 PM
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Monday, 07/31/2017
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Mixture DOE Approach for Weights Optimization in Regression Ensembles
Stanislav Zakharkin, PepsiCo
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Survival Prediction in Early-Stage Lung Cancer via Bayesian Model Averaging of Nonparametric Accelerated Failure Time Models
Kijoeng Nam, Merck; Nicholas Henderson, Johns Hopkins University ; Dai Feng, Merck
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Accelerated Failure Time Model with Log-Concave Error Distribution
Sunyul Kim, Sungkyunkwan university statstics department; Byung tae Seo, Sungkyunkwan University
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Semiparametric Bayes' Proportional Odds Models for Arbitrarily Censored Failure Time Data
Lu Wang, University of South Carolina; Lianming Wang, University of South Carolina
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Leveraging Ensembles of Machine Learning Algorithms to Provide Real-Time Instructor Feedback
Alexander Lyford, UGA
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A Generalizable Application of SuperLearner to Facial Recognition
Mary Combs, UNIVERSITY OF CALIFORNIA
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Computer Model Calibration via the Ensemble Kalman Filter
Seiyon Lee, Pennsylvania State University; Murali Haran, Pennsylvania State University; Klaus Keller, Pennsylvania State University
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Semiparametric Bayesian Regression for Multivariate Skewed Responses
Apurva Bhingare
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Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series
Yi Zhao, Brown University; Xi Luo, Brown University
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Creation of a Web-Enabled Framework of a Taxonomy of Terms at the Bureau of Labor Statistics
Randall Powers, US Bureau of Labor Statistics; Daniel Gillman, Bureau of Labor Statistics
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Time-to-event analysis when the event of interest is defined on a finite time interval and is subject to a competing risk
Catherine Lee; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
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Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response
Qianqian Wang, University of South Carolina; Yanyuan Ma, Penn State University; Guangren Yang, Jinan University; Xia Cui, Zhongshan University
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Copula-Based Estimation for Markov Models with Detection Limits
Fuyuan Li, George Washington University
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A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes
Sophie Yu-Pu Chen, University of Michigan; Alex Tsodikov, University of Michigan
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Estimating Average Treatment Effects with a Response-Informed Calibrated Propensity Score
David Cheng, Harvard T.H. Chan School of Public Health; Abhishek Chakrabortty, University of Pennsylvania; Ashwin N. Ananthakrishnan, Massachusetts General Hospital; Tianxi Cai, Harvard University
8:35 AM
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Improving Power in Group Sequential, Randomized Trials by Adjusting for Prognostic Baseline Variables and Short-Term Outcomes
Tianchen Qian, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Huitong Qiu, Vatic Lab
8:35 AM
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Estimation of the Tail Index Using Semiparametric Regression
Emanuele Taufer, University of Trento; Mofei Jia, Xi'an Jiaotong-Liverpool University; Maria Michela Dickson, University of Trento
8:35 AM
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Creation of a Web-Enabled Framework of a Taxonomy of Terms at the Bureau of Labor Statistics
Randall Powers, US Bureau of Labor Statistics; Daniel Gillman, Bureau of Labor Statistics
8:40 AM
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Computer Model Calibration via the Ensemble Kalman Filter
Seiyon Lee, Pennsylvania State University; Murali Haran, Pennsylvania State University; Klaus Keller, Pennsylvania State University
8:50 AM
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Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations
Forrest W Crawford, Yale School of Public Health
8:55 AM
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Bin-Weighted Ensemble Classifiers
Karsten Maurer, Miami University; Walter Bennette, Air Force Research Lab
9:05 AM
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Partial Identification Bounds and Path-Specific Effects: Two (More) Options When Faced with Exposure-Induced Confounding
Caleb Hilliard Miles, University of California, Berkeley; Ilya Shpitser, Johns Hopkins University; Phyllis Kanki, Harvard T.H. Chan School of Public Health; Seema Meloni, Harvard T.H. Chan School of Public Health; Eric Tchetgen Tchetgen, Harvard University
9:15 AM
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Identification and Semiparametric Estimation of Causal Effects for Contagious Processes
Elizabeth L Ogburn, Johns Hopkins University
9:15 AM
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Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
Lan Xue, Oregon State University; Jianfei Zheng, Oregon State University
9:15 AM
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Semiparametric Bayesian Regression for Multivariate Skewed Responses
Apurva Bhingare
9:20 AM
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Copula-Based Estimation for Markov Models with Detection Limits
Fuyuan Li, George Washington University
9:20 AM
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SVM-CART for Disease Classification
Evan Reynolds, University of Michigan; Mousumi Banerjee, University of Michigan; Brian Callaghan, University of Michigan
9:35 AM
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Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series
Yi Zhao, Brown University; Xi Luo, Brown University
9:35 AM
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Posterior Concentration for Bayesian Regression Trees and their Ensembles
Veronika Rockova, University of Chicago; Stephanie van der Pas, Leiden University
10:35 AM
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Regression Analysis of Multivariate Failure Time Data
Ross L Prentice, Fred Hutchinson Cancer Research Center; Shanshan Zhao, National Institute of Environmental Health Sciences
10:35 AM
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Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources
Nilanjan Chatterjee, Johns Hopkins University; Runlong Tang, Johns Hopkins University; Prosenjit Kundu, Johns Hopkins University
10:35 AM
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High-Dimensional Propensity Score via Covariate Balancing
Yang Ning, Cornell University; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
10:35 AM
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Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response
Qianqian Wang, University of South Carolina; Yanyuan Ma, Penn State University; Guangren Yang, Jinan University; Xia Cui, Zhongshan University
10:50 AM
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On Data Integration Problems with Manifolds
Kenneth Ryan, WVU; Mark Culp, West Virginia University
11:05 AM
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Automatic Forecasting of Hourly Electricity Demand with a Computationally Efficient Semiparametric Time Series Model
Jun Liu, Georgia Southern University
11:05 AM
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A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes
Sophie Yu-Pu Chen, University of Michigan; Alex Tsodikov, University of Michigan
11:30 AM
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Gaussian Process Ensembles
Gregory Watson; Donatello Telesca, UCLA
11:50 AM
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Semiparametric Odds Ratio Model for Multivariate Survival Times
Hua Yun Chen, University of Illinois at Chicago
11:55 AM
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Time-to-event analysis when the event of interest is defined on a finite time interval and is subject to a competing risk
Catherine Lee; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
11:55 AM
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Power to Detect Intervention Effects on Ensembles of Social Networks
Tracy Sweet, University of Maryland
2:05 PM
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Bayesian Semiparametric Covariance Function Estimation for Stationary Gaussian Processes by Overwhelming Force
John Ensley
2:35 PM
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Accelerated Failure Time Models for Semi-Competing Risks Data in the Presence of Complex Censoring
Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health; Kyu Ha Lee, The Forsyth Institute
3:05 PM
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A Semiparametric Two-Part Model for Longitudinal Semi-Continuous Data
Lixuan Yin; Guoqing Diao, George Mason University; Aiyi Liu, National Institutes of Health/NICHD
3:20 PM
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Flexible Semiparametric Regression of State Occupational Probabilities in a Multistate Model with Right-Censored Data
Chathura Siriwardhana, University of Hawaii; Karunarathna Kulasekera, University of louisville; Somnath Datta, University of Florida
3:35 PM
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Tuesday, 08/01/2017
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Medicare Risk Adjustment with Systematically Missing Data
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Thomas G. McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School
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Semiparametric Regression with a Mixture Model with Both Known and Unknown Components
Weibin Zhong, Georgetown University Medical Center; Ao Yuan, Georgetown University; Kepher H Makambi, Georgetown University
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Supervised Binning Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Kendell Churchwell, C Spire
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Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
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Model Averaging for Probabilistic Time Series Forecasts
Evan L. Ray, University of Massachusetts, Amherst; Nicholas G. Reich, University of Massachusetts Amherst
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Nonparametric Prediction and the Exoplanet Mass-Radius Relationship
Bo Ning, North Carolina State University
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Bayesian Semiparametric Modeling of Near Infra-Red Spectroscopy Data
Timothy D Johnson, University of Michigan
8:35 AM
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Semiparametric Regression on Life Lost
Lauren Balmert, University of Pittsburgh; Jong H. Jeong, University of Pittsburgh
8:35 AM
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Robust Estimation in Additive Hazards Models
Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University; Torben Martinussen, University of Copenhagen; Eric Tchetgen Tchetgen, Harvard University
8:50 AM
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Stability, Uncertainty, and Bayesian Learning
Chris Holmes, University of Oxford
9:00 AM
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Adaptive Ensemble Kalman Filters for Online Bayesian State and Parameter Estimation
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher Wikle, University of Missouri
9:15 AM
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Outcome-Dependent Sampling with Interval-Censored Failure Time Data
Qingning Zhou, University of North Carolina at Chapel Hill; Jianwen Cai, University of North Carolina at Chapel Hill; Haibo Zhou, University of North Carolina at Chapel Hill
9:20 AM
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Semiparametric Bayes Inference of Gap-Time Distribution with Recurrent Event Data
AKM Fazlur Rahman, University of Alabama at Birmingham; Edsel Aldea Pena, University of South Carolina
9:20 AM
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Sparse semi-parametric generated effect modifiers
Hyung Park, Columbia University; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; R. Todd Ogden, Department of Biostatistics, Columbia University
9:50 AM
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Model Averaging for Probabilistic Time Series Forecasts
Evan L. Ray, University of Massachusetts, Amherst; Nicholas G. Reich, University of Massachusetts Amherst
10:10 AM
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Flexible Semiparametric Functional Analysis in Matched Case-Crossover Studies
Wenyu Gao; Inyoung Kim, Virginia Tech
10:35 AM
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On the Interpretation of Ensemble Classifiers in Terms of Bayes Classifiers
Tri Le, University of Nebraska; Bertrand Clarke, University of Nebraska
10:55 AM
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Confidence Intervals for Heritability via Haseman-Elston Regression
Tamar Sofer, University of Washington, Department of Biostatistics
11:15 AM
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Semiparametric Bayesian Models for Unbalanced Matched Case-Crossover Approach
Inyoung Kim, Virginia Tech; Feng Guo, Virginia Tech
11:15 AM
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Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
11:35 AM
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Semiparametric Approaches for Matched Case-Control Studies with Error-In-Covariates
Nels Johnson; Inyoung Kim, Virginia Tech
11:35 AM
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Semiparametric Time Varying Coefficient Models for Matched Case-Crossover Studies
Ana Maria Ortega-Villa, National Institutes of Health; Inyoung Kim, Virginia Tech
11:55 AM
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Supervised Binning Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Kendell Churchwell, C Spire
12:10 PM
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A Regularized Bayesian Approach to Direct and Indirect Effects When Both Exposure and Mediator Are High-Dimensional
Yu-Bo Wang, National Institutes of Health; Zhen Chen, NICHD; Germaine M. Louis, NICHD
2:05 PM
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Parametric, Semiparametric and Non-Parametric Methods for Sensitivity Analysis with Incomplete Data
Geert Molenberghs , Universiteit Hasselt
2:25 PM
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Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events
Kwun Chuen Gary Chan, University of Washington; Mei-Cheng Wang, Johns Hopkins University
2:30 PM
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Semiparametric Regression for Interval-Censored Data with Informative Dropout
Donglin Zeng, University of North Carolina; Fei Gao, University of North Carolina; Danyu Lin, University of North Carolina
2:55 PM
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A Flexible Marginalized Two-Part Model for Semicontinuous Data
Valerie Smith, Duke University and Department of Veterans Affairs; John Preisser, University of North Carolina-Chapel Hill; Matthew Maciejewski, Duke University and Department of Veterans Affairs
3:05 PM
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Transformation Models for Doubly-Censored and Clustered Survival Data
Jane-Ling Wang, University of California, Davis; Cong Xu, Stanford University; Yuru Su, Fred Hutchinson Cancer Research Center
3:20 PM
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Hypothesis Testing for Nonlinear Feature Interaction Using Cross-Validated Kernel Ensemble
Jeremiah Zhe Liu, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
3:20 PM
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Mixture Models for Left- and Interval-Censored Data: Applications to a Cancer Screening Cohort Assembled from Electronic Health Records
Li Cheung, National Cancer Institute; Qing Pan, George Washington University; Noorie Hyun, National Cancer Institute; Mark Schiffman, National Cancer Institute; Barbara Fetterman, Kaiser Permanente Northern California; Philip Castle, Albert Einstein School of Medicine; Thomas Lorey, Kaiser Permanente Northern California; Hormuzd Katki, National Cancer Institute
3:20 PM
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Wednesday, 08/02/2017
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On the Semiparametric Bernstein-Von Mises Theorem in Regular and Nonregular Models
Judith N. Rousseau, Université Paris Dauphine
8:35 AM
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Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM
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Semiparametric Temporal Process Regression for Prevalence Modeling of Data Subject to Dependent Censoring
Tianyu Zhan, Biostatistics, University of Michigan; Douglas Earl Schaubel, University of Michigan
9:20 AM
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Multi-Dimensional Classification with Semiparametric Mixture Model
Anqi Yin; Ao Yuan, Georgetown University
9:20 AM
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Interviewer Effects on Racially-Sensitive Questions and Biomeasures: Results from a Semi-Interpenetrated Design
Matt Jans, Abt Associates; Trivellore Raghunathan, University of Michigan School of Public Health; Mick P. Couper, Michigan Program in Survey Methodology
9:50 AM
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Semiparametric Regression Modeling and Transition-Probability Prediction with Correlated Interval Censored Life-History Data
Daewoo Pak, Michigan State University; Chenxi Li, Michigan State University; David Todem, Michigan State University
9:50 AM
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Mendelian randomization for survival outcomes using semiparametric transformation models
Yen-Tsung Huang, Academia Sinica
10:35 AM
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New Machine Learning Tools for Discovering and Utilizing Biomarkers in Precision Medicine
Daniel Luckett, University of North Carolina at Chapel Hill; Eric Laber, North Carolina State University; Michael R Kosorok, University of North Carolina at Chapel Hill
10:55 AM
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Bayesian High-Dimensional Linear Regression Under the Model Misspecification
Kyoungjae Lee, The University of Notre Dame; Minwoo Chae, The University of Texas at Austin; Lizhen Lin, The University of Notre Dame
11:20 AM
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Genome-Wide Study of MiRNA Regulated Gene Expressions Networks in Association with Emphysematous Lung Destruction
Chong Ma, University of South Carolina Columbia; Yen-Yi Ho, University of South Carolina
11:50 AM
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Higher Order Influence Functions and Minimax Estimation of Nonlinear Functionals
James Robins, Harvard University; Aad van der Vaart, Universiteit Leiden; Eric Tchetgen Tchetgen, Harvard University ; lingling li, sanofi genzyme; rajarshi mukherjee, stanford
2:05 PM
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Mesoscale Spatial Forecast Verification Over Complex Terrain
Eric Gilleland, NCAR; Manfred Dorninger, University of Vienna; Marion Mittermaier, MetOffice, U.K.; Barbara G. Brown, NCAR; Elizabeth E. Ebert, Bureau of Meteorology; Barbara Casati, Environment Canada; Laurence Wilson, Environment Canada
2:05 PM
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Regression Analysis of Multivariate Interval-Censored Failure Time Data Under Frailty Probit Models
Yifan Zhang, University of South Carolina; Lianming Wang, University of South Carolina
2:05 PM
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Semiparametric Single Index Regression Models for Censored Outcomes
Jin Wang, UNC Chapel Hill; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina
2:20 PM
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Stratified Semiparametric Density Ratio Model
Moming Li, George Mason University; Guoqing Diao, George Mason University
2:20 PM
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Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
Edward H Kennedy, Carnegie Mellon University; Dylan Small, University of Pennsylvania
2:25 PM
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Statistical Modeling of Large-Scale Neural Ensembles
Shizhe Chen, Columbia University; Ali Shojaie, University of Washington; Eric Shea-Brown, University of Washington; Daniela Witten, University of Washington
2:30 PM
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A Semi-parametric Bayesian Approach for Detection of Gene Expression Heterosis with RNA-Seq Data
Ran Bi, Iowa State University; Peng Liu, Iowa State University
2:35 PM
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A Semiparametric Random Effects Model for Clustered Competing Risks Data
Sai Dharmarajan, University of Michigan-School of Public Health; Douglas Earl Schaubel, University of Michigan
2:50 PM
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Monotone Distribution Function Estimation in Randomized Trials with Noncompliance
Anqi Cheng, University of Washington
3:05 PM
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Doubly Robust Regression Analysis for Data Fusion
Katherine Evans; James Robins, Harvard University; Eric Tchetgen Tchetgen, Harvard University
3:05 PM
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A Conditional Score Test for Homogeneity in Generalized Semiparametric Exponential Family Mixture Models
Rui Duan, University of Pennsylvania; Yang Ning, Cornell University; Bruce George Lindsay, The Pennsylvania State University, Department of Statistics; Yong Chen, University of Pennsylvania
3:05 PM
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Semiparametric Varying-Coefficient Nonlinear Regression for Interactions in Multifactor ANOVA Models with Unbalanced or Single Replications
Yumin Huang, Tunghai University
3:20 PM
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Semiparametric Regression Analysis of Multiple Interval-Censored and Right-Censored Events
Fei Gao, University of North Carolina; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina
3:35 PM
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Thursday, 08/03/2017
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On the Estimation of Ultra-High-Dimensional Semiparametric Gaussian Copula Models
Qing Mai
8:35 AM
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Bounded, Efficient and Triply Robust Estimation of Average Treatment Effects Using Instrumental Variables
Linbo Wang, University of Washington; Eric Tchetgen Tchetgen, Harvard University
9:05 AM
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Corporate Bankruptcy Prediction: a Penalized Semiparametric Index Hazard Model Approach
Shaobo Li, University of Cincinnati; Shaonan Tian, San Jose State University; Yan Yu, University of Cincinnati
9:35 AM
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A Nonparametric Mixture of Semiparametric Bayesian Hierarchical Survival Models for Pathway Based Analysis
Lin Zhang, Virginia Tech; Inyoung Kim, Virginia Tech
9:35 AM
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Copula-Based Semiparametric Models for Spatial-Temporal Data
Huixia Judy Wang, The George Washington University; Yanlin Tang, George Washington University; Ying Sun, King Abdullah University of Science and Technology
9:50 AM
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Comparison and validation of statistical methods for predicting tree failure during storm
Elnaz Kabir; Seth Guikema, University of Michigan
10:05 AM
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On Estimation of Regression Parameters with Current Status Data
Kim Hendrickx, Hasselt University; Piet Groeneboom, Delft University of Technology
10:35 AM
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An Optimal Semiparametric Method for Two-Group Classification
Seungchul Baek, University of South Carolina; Osamu Komori, University of Fukui; Yanyuan Ma, Penn State University
10:35 AM
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Doubly Smoothed MLE in Semiparametric Mixtures
Byungtae Seo, Sungkyunkwan University
10:35 AM
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Residuals and Influence in Bayesian Ensemble Models
Robert McCulloch, Arizona State University; Matthew Pratola, The Ohio State University
11:00 AM
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Semiparametric Adaptive Estimation with Nonignorable Nonresponse Data
Kosuke Morikawa, Osaka University; Jae-kwang Kim, Iowa State University
12:05 PM
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