Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Markov model returned 21 record(s)
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Monday, 07/30/2018
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Comparing Behavioral Dynamics Between Groups of Mice Using Hierarchical Hidden Semi Markov Models
Emmeke Aarts, Utrecht University
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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
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Tracing Studies in Cohorts with Attrition: Selection Models for Efficient Sampling
Leilei Zeng, University of Waterloo; Nathalie Moon , University of Waterloo; Richard John Cook, University of Waterloo
9:35 AM
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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
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Identifying Disease Progression Dynamics Using Electronic Medical Records
Xiaochen Wang; Hongyu Zhao, Yale
11:50 AM
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Maximum Diversity Weighting for Biomarkers with Application in HIV-1 Vaccine Studies
Zonglin He, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
11:55 AM
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Likelihood Based Dynamic Connectivity Analysis Using Hidden Semi-Markov Models
Heather Shappell, Johns Hopkins University Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University; James Pekar, Johns Hopkins University F.M. Kirby Research Center; Martin A Lindquist, Johns Hopkins University
2:35 PM
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Tuesday, 07/31/2018
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Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
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A Bayesian Hidden Markov Model for Detecting Differentially Methylated Regions
Tieming Ji, University of Missouri at Columbia
8:35 AM
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A Hidden Markov Modeling Approach for Identifying tumor Subclones in Next-Generation Sequencing Studies
Hyoyoung Choo-Wosoba, NCI/DCEG/BB; Paul S Albert, National Cancer Institute; Bin Zhu, NIH/NCI
9:05 AM
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Estimating Behavioral Transition Probabilities of Greater White-Fronted Geese Using Non-Homogenous Markov Models
Toryn Schafer, University of Missouri; Christopher K. Wikle, University of Missouri; Mitchell Weegman, University of Missouri
9:05 AM
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Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:45 AM
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From Markov Models to Poisson Point Processes: Modeling Player Movement in the NBA
Jacob Mortensen, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
2:05 PM
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Boolean Function Networks
Henry Lu, National Chiao Tung University
2:20 PM
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Multi-Scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures
Vianey Leos Barajas, Iowa State University; Eric Gangloff, Station d'Ecologie Théorique et Expérimentale du CNRS; Timo Adam, Bielefeld University; Roland Langrock, Bielefeld University; Juan Morales, INIBIOMA-CRUB CONICET
2:30 PM
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Thursday, 08/02/2018
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Visualizing Clustering and Uncertainty Analysis of Multivariate Time-Series Data
Kristin Divis, Sandia National Laboratories; Maximillian Chen, Sandia National Laboratories; Laura A McNamara, Sandia National Laboratories; Dan Morrow, Sandia National Laboratories
9:35 AM
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An Approximation to the Information Matrix of Hidden Markov Model
Qing Ji, University of Maryland, Baltimore County; Andrew Raim, U.S. Census Bureau; Nagaraj Neerchal, University of Maryland, Baltimore County
9:50 AM
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