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Keyword Search Criteria: Latent variable returned 29 record(s)
Sunday, 07/29/2018
Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo


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


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
2:40 PM

Missing Data Issues in the Studies of Neurodegenerative Disorders: The Methodology
Sheng Luo, Duke University Medical Center; Kan Li, University of Texas Health Science Center
4:25 PM

Monday, 07/30/2018
Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme


Structural Equation Modeling with Latent Variables for Secondary Phenotypes in Case-Control Association Studies
Ting-Huei Chen, Université Laval
9:50 AM

Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme
10:40 AM

A Latent Variable Approach for Handling Qualitative Factors in Gaussian Process Modeling of Computer Experiments
Daniel W Apley, Northwestern University; Yichi Zhang, Northwestern University
11:15 AM

Statistical Properties of Variational Bayes
Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University; Yun Yang, Florida State University
11:25 AM

GLM-Based Latent Variable Ordination Method for Microbiome Samples
Michael Sohn, University of Rochester; Hongzhe Li, University of Pennsylvania
2:35 PM

Asymptotic Analysis of Large-Scale Multi-Relational Network Through Latent Variable Modeling
Zhi Wang, Columbia University; Xueying Tang, Columbia University; Jingchen Liu, Columbia University
2:50 PM

Latent Variable Modeling for Validating Custom Scales
Stephanie Lane, Institute For Defense Analyses
3:05 PM

Latent Variable Modeling for Extracting Consensus Estimates of Precipitation in High Mountain Asia
William F. Christensen, Brigham Young University; Shane Reese, Brigham Young University; Summer Rupper, University of Utah; Michael F. Christensen, Brigham Young University; Brenton Mabey, Brigham Young University; Katie Larson, Brigham Young University
3:05 PM

Not All Hierarchical Models Are Created Equal: Interpretation, Model Adequacy and Statistical Computation
Matthew Schofield, University of Otago; Richard Barker, University of Otago
3:25 PM

Tuesday, 07/31/2018
Comparison of Latent Variable Models with Black Box Methods to Classify Disease Flare
Jonathan Grotts


Spatial-Temporal Latent Variable Models: a Potential Waste of Space and Time?
Francis Hui, Mathematical Sciences Institute
8:35 AM

Interval Estimation for the Slope Difference in a Normal Mixture Regression Model
Shin-Fu Tsai, National Taiwan University
2:35 PM

A Class of Additive Transformation Models for Recurrent Gap Times
Ling Chen, Washington University in St. Louis; Yanqin Feng, School of Mathematics and Statistics, Wuhan University; (Tony) Jianguo Sun, University of Missouri
2:50 PM

Wednesday, 08/01/2018
Mediation with Latent Variables
Joshua Sampson, National Cancer Institute; Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute


A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies
Xue Li, Capital One; Xinlei (Sherry) Wang, Southern Methodist University; Pankaj Choudhary, University of Texas at Dallas; Swati Biswas, University of Texas at Dallas


A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph; Theodore J Noseworthy, York University


Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan


Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu


A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph; Theodore J Noseworthy, York University
9:30 AM

Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan
9:55 AM

Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu
10:05 AM

Bayesian IRT and Factor Modeling with Missing Values
Thorsten Schnapp, University of Bamberg; Christian Aßmann, University of Bamberg
10:35 AM

Spatio-Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Processes
Gabriel Huerta, University of New Mexico; Kellin Rumsey, University of New Mexico
11:05 AM

Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Ying Nian Wu, UCLA
2:30 PM