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Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications
Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices - Lecture Notes in Computer Science
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10.1007/978-3-030-79457-6_25
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2021
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pp. 285-296
Author(s):
Mahsa Amirkhani
◽
Narges Manouchehri
◽
Nizar Bouguila
Keyword(s):
Mixture Models
◽
Medical Applications
◽
Multivariate Beta
◽
Mcmc Approach
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Birth Death
Download Full-text
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Nonparametric variational learning of multivariate beta mixture models in medical applications
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10.1002/ima.22506
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2020
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Mixture Models
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Online variational inference on finite multivariate Beta mixture models for medical applications
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Nizar Bouguila
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Variational Inference
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A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models
10.1109/iri51335.2021.00018
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Mixture Models
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Nonparametric Bayesian
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Expectation propagation learning of finite multivariate Beta mixture models and applications
Neural Computing and Applications
◽
10.1007/s00521-021-06839-1
◽
2022
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Author(s):
Narges Manouchehri
◽
Nizar Bouguila
◽
Wentao Fan
Keyword(s):
Mixture Models
◽
Expectation Propagation
◽
Multivariate Beta
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Sex, lies and self-reported counts: Bayesian mixture models for heaping in longitudinal count data via birth–death processes
The Annals of Applied Statistics
◽
10.1214/15-aoas809
◽
2015
◽
Vol 9
(2)
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pp. 572-596
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Cited By ~ 12
Author(s):
Forrest W. Crawford
◽
Robert E. Weiss
◽
Marc A. Suchard
Keyword(s):
Mixture Models
◽
Count Data
◽
Longitudinal Count Data
◽
Bayesian Mixture
◽
Bayesian Mixture Models
◽
Birth Death
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Learning of Multivariate Beta Mixture Models via Entropy-based component splitting
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
◽
10.1109/ssci44817.2019.9002803
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2019
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Cited By ~ 1
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Narges Manouchehri
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Nizar Bouguila
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Keyword(s):
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Component Splitting-based Approach for Multivariate Beta Mixture Models Learning
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
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2019
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Author(s):
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Hieu Nguyen
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Nizar Bouguila
Keyword(s):
Mixture Models
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Multivariate Beta
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Medical Applications of Finite Mixture Models by Peter Schlattmann
International Statistical Review
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10.1111/j.1751-5823.2011.00149_20.x
◽
2011
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Vol 79
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pp. 294-294
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Author(s):
Pranab K. Sen
Keyword(s):
Mixture Models
◽
Finite Mixture Models
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Finite Mixture
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Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis
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◽
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Narges Manouchehri
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Keyword(s):
Mixture Models
◽
Human Tissue
◽
Tissue Analysis
◽
Expectation Propagation
◽
Multivariate Beta
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Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications
Pattern Analysis and Applications
◽
10.1007/s10044-021-01023-6
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2021
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Author(s):
Narges Manouchehri
◽
Nizar Bouguila
◽
Wentao Fan
Keyword(s):
Dirichlet Process
◽
Medical Applications
◽
Hierarchical Dirichlet Process
◽
Beta Distributions
◽
Dirichlet Process Mixtures
◽
Multivariate Beta
◽
Variational Learning
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