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: Latent returned 72 record(s)
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Sunday, 07/30/2017
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Predicting Platinum Resistance in Ovarian Cancer Treatment from Integrated Genomic Data
Esther Drill, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Yuanjia Wang , Columbia University
2:05 PM
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Extracting Latent States from High Frequency Option Prices
Jean-Francois Begin, Simon Fraser University; Diego Amaya, Wilfred Laurier University; Genevieve Gauthier, HEC Montréal
2:20 PM
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Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings
Rainer Hirk, WU Vienna University of Economics and Business; Laura Vana, WU Vienna University of Economics and Business; Kurt Hornik, WU Vienna University of Economics and Business
2:50 PM
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Multi-Level Bayesian Models for Psychiatric and Brain Imaging Data
Wesley Kurt Thompson, UCSD
2:55 PM
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Multivariate Spatial Point Patterns via Correlated Bernoulli Indicators
Matthew Heaton, Brigham Young University; Matthew Bekker, Brigham Young University
3:20 PM
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A Hierarchical Model for Network Data in a Latent Hyperbolic Space
Anna Smith; Catherine Calder, The Ohio State University
3:20 PM
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A Fused Latent and Graphical Model for Multivariate Binary Data
Yunxiao Chen, Emory University; Xiaoou Li, University of Minnesota Twin Cities; Jingcheng Liu, Columbia University; Zhiliang Ying, Columbia University
4:05 PM
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Assessing Latent Dimensionality of a Symptom Battery in a Sample with Many Subjects Exhibiting No Symptoms
William Christensen, Brigham Young University; Melanie M Wall, Columbia University; Irini Moustaki, London School of Economics
4:05 PM
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Latent Dirichlet Allocation Topic Models Applied to the Centers for Disease Control and Prevention's Grant Portfolio
Matthew Eblen, Centers for Disease Control and Prevention; Robin Wagner, Centers for Disease Control and Prevention
4:05 PM
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Statistical Consulting: How Many Specimens Per Patient Should We Have for Improved Accuracy of Prosthetic Joint Infection?
Jayawant Mandrekar, Mayo Clinic
4:05 PM
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A Non-Parametric Bayesian Approach for Indictor Kriging and Its Application in Disease Etiology
Nong Shang, CDC
4:35 PM
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Inference on Risk Premia Without a Fully Specified Factor Model
Dacheng Xiu, University of Chicago; Stefano Giglio, University of Chicago
4:55 PM
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Monday, 07/31/2017
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Joint Modeling of Longitudinal Trajectories and Censoring Mechanism Using Shared Latent Random Variables
Miran Jaffa, American University of Beirut; Ayad A Jaffa, American University of Beirut
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Analysis of Batched Latent Data Using Gaussian Model: With Application to the Social Benefits Claim Program
Xueying Wang; Kepher H Makambi, Georgetown University; Ao Yuan, Georgetown University
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Dynamic Latent Factor Modeling of UN Voting Networks
Bomin Kim, Pennsylvania State University; Xiaoyue Niu, Penn State University; David Hunter, The Pennsylvania State University; Xun Cao, The Pennsylvania State University
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Informative Group Testing for Multiplex Assays
Christopher Bilder, University of Nebraska-Lincoln; Joshua Tebbs, University of South Carolina; Christopher McMahan, Clemson 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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Bayesian Analysis of Time Series with Irregular or Latent Observation Times
Aaron Springford, Queen's University; David Thomson, Queen's University
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Dynamic Latent Factor Modeling of UN Voting Networks
Bomin Kim, Pennsylvania State University; Xiaoyue Niu, Penn State University; David Hunter, The Pennsylvania State University; Xun Cao, The Pennsylvania State University
8:45 AM
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Bayesian Analysis of Time Series with Irregular or Latent Observation Times
Aaron Springford, Queen's University; David Thomson, Queen's University
10:10 AM
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Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM
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Comparing the Mixing Fractions in a Latent Mixture Model to Investigate Change in Mutational Processes During Cancer Growth and Development
Kimberly Siegmund, Univ of Southern California-School of Medicine; Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Paul Marjoram, University of Southern California; Darryl Shibata, University of Southern California
10:55 AM
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Informative Group Testing for Multiplex Assays
Christopher Bilder, University of Nebraska-Lincoln; Joshua Tebbs, University of South Carolina; Christopher McMahan, Clemson University
11:10 AM
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Testing and Estimation of Social Network Dependence with Time-To-Event Data
Lin Su, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University; Danyang Huang, Renmin University
11:20 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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Does Environmental Smoking Mediate the Association Between Sleep Quality and Perinatal Depressive Symptoms? a Random Effect Latent Variable Model
Alfred Mbah
12:05 PM
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A Latent Variable Approach to Elicit Continuous Toxicity Scores and Severity Weights for Multiple Toxicities in Dose-Finding Oncology Trials
Nathaniel O'Connell, Medical University of South Carolina; Elizabeth Garrett-Mayer, Medical University of South Carolina
2:05 PM
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Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM
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Joint Analysis of Left-Censored Longitudinal Biomarker and Binary Outcome via Latent Class Modeling
Menghan Li, Pennsylvania State University ; Lan Kong, Pennsylvania State University
2:35 PM
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Personalizing Early Detection for Alzheimer's Disease: Biomarker Assessment in the Absence of a Gold Standard
Zheyu Wang, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Marilyn Albert, Johns Hopkins University
2:45 PM
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Alzheimer's Intervention Case Study: Patient Preferences and Benefit-Risk Tradeoffs in Interception of Alzheimer's Disease
Rachael L. DiSantostefano, Janssen R&D; Shelby Reed, Duke University; Reed Johnson, Duke University; Jui-Chen Yang, Duke University; Johannes Streffer, Janssen R&D; Bennett Levitan, Janssen R&D
3:05 PM
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On the Reproducibility of Latent Variables
William Heavlin, Google, Inc.
3:20 PM
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Tuesday, 08/01/2017
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A Bayesian Approach for Instrumental Variable Analysis
Samrachana Adhikari, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
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Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan
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Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida
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Quantifying Uncertainty in Latent Dirichlet Allocation
Christine Chai, Duke University
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Identifying Latent Structures in Restricted Latent Class Models
Zhuoran Shang, University of Minnesota; Gongjun Xu, University of Michigan
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Three Principles for Data Science: Predictability, Stability and Computability
Bin Yu, University of California, Berkeley
8:35 AM
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High-Dimensional Mediation Analysis with Latent Factors
Andriy Derkach, NIH-National Cancer Institute; Ting-Huei Chen, Université Laval; Joshua Sampson, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:50 AM
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Sequential Monte Carlo for Dynamic Latent Space Networks
Kathryn Turnbull, Lancaster University; Matthew Nunes, Lancaster University; Christopher Nemeth, Lancaster University; Tyler McCormick, University of Washington
9:05 AM
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Spatial-Temporal Modeling of Heavy Tailed Data
Gabriel Huerta, University of New Mexico
9:35 AM
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The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models
Birgir Hrafnkelsson, University of Iceland; Dan Simpson, University of Bath; Oli Pall Geirsson, University of Iceland
9:50 AM
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Overlapping clustering with LOVE
Florentina Bunea, Cornell
10:35 AM
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Harnessing Diverse Data from a Healthcare Systems Network for Early Identification of Pediatric Diabetes
Rebecca Hubbard, University of Pennsylvania; Grace Choi, University of Pennsylvania; Arman Oganisian, University of Pennsylvania; Yong Chen, University of Pennsylvania; Jing Huang, University of Pennsylvania
10:55 AM
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Quantifying Uncertainty in Latent Dirichlet Allocation
Christine Chai, Duke University
11:00 AM
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Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida
11:30 AM
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Identifying Latent Structures in Restricted Latent Class Models
Zhuoran Shang, University of Minnesota; Gongjun Xu, University of Michigan
11:50 AM
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Robust Genetic Prediction of Complex Traits with the Latent Dirichlet Process Regression Models
Xiang Zhou, University of Michigan; Ping Zeng, University of Michigan
11:55 AM
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Learning with Latent Trajectory Classes
Chen-Pin Wang, UTHSCSA; Booil Jo, Stanford University
2:25 PM
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Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling
Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts; Rochelle E Tractenberg, Georgetown University
2:35 PM
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Multivariate Small Area Estimation of Multidimensional Latent Economic Wellbeing Indicators
Angelo Moretti, University of Manchester; Natalie Shlomo, University of Manchester; Joseph Sakshaug, The University of Manchester
2:35 PM
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A Bayesian Approach to Latent Class Modeling with Ordinal Response Data
Padma Sharma, UC Irvine
3:05 PM
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Wednesday, 08/02/2017
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Joint Sentiment Topic Modeling of Text Data
Sahba Akhavan Niaki, University of Florida; George Michailidis, University of Florida
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A Latent Space Joint Model for the Analysis of Item Response Data
Ick Hoon Jin; Minjeong Jeon, University of California, Los Angeles
9:35 AM
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Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM
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Hierarchical Models for Spatial Data with Errors That Are Correlated with the Latent Process
Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
9:55 AM
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Joint Sentiment Topic Modeling of Text Data
Sahba Akhavan Niaki, University of Florida; George Michailidis, University of Florida
9:55 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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Model Selection in Latent Class Analysis
Zhaoyin Zhu, NYU; Yongzhao Shao, New York University School of Medicine
10:50 AM
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Fast and Accurate Bayesian Model Criticism and Conflict Detection Using Integrated Nested Laplace Approximations (INLA)
Egil Ferkingstad, University of Iceland; Leonhard Held, University of Zurich; Havard Rue, KAUST
11:05 AM
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Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity
Mark Abney
11:05 AM
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Latent Space Models for Dynamic Bipartite Social Networks
Adrian E. Raftery, University of Washington
2:05 PM
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Spatial Temporal Exponential-Family Point Process Models for the Evolution of Social Systems
Mark Stephen Handcock, University of California - Los Angeles; Joshua D. Embree, RAND Corporation
2:30 PM
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Latent Space Stochastic Block Model for Social Networks
Tin Lok James Ng, University College Dublin; Thomas Brendan Murphy, University College Dublin; Tyler McCormick, University of Washington; Bailey Fosdick, Colorado State University; Ted Westling, University of Washington
2:55 PM
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Thursday, 08/03/2017
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Latent Class Analysis for Modeling and Promoting Online Learning
Jeff Douglas; Shiyu Wang, University of Georgia; Steven Culpepper, University of Illinois
8:35 AM
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Imputation of Ordinal Data in the Agricultural Resource Management Survey Using Bayesian Methods
Christopher Burns, USDA-Economic Research Service; Sujit K Ghosh, North Carolina State University; Daniel Prager, USDA-Economic Research Service; Li Zhang, George Mason University
8:35 AM
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A Hierarchical Bayesian Non-Parametric Approach to Modeling Microbial Community Structure
John D O'Brien, Bowdoin College; Chris Quince, University of Warwick
8:35 AM
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Phylogeny-Based Tumor Subclone Identification Using Bayesian Feature Allocation Model
Li Zeng, Yale University; Hongyu Zhao, Yale University
8:50 AM
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Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Models
Yang Liu, University of Connecticut; Xiaojing Wang, University of Connecticut
10:35 AM
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On the Forensic Analysis of Latent Fingerprint Evidence
Alan Izenman, Temple University
10:50 AM
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A Latent Trait Clustering Method for Mixed-Mode Data
Yawei Liang, University of South Carolina; David Hitchcock, University of South Carolina
10:50 AM
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Model-Based Clustering of Big Data
Paul McNicholas, McMaster University
11:55 AM
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