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Semiparametric Bayesian classification with longitudinal markers
Rolando De La Cruz-Mesía
, Fernando A. Quintana
, Peter Müller
Faculty of Engineering and Science
Research output
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Contribution to journal
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Article
›
peer-review
42
Scopus citations
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Keyphrases
Semi-parametric
100%
Probability Model
100%
Posterior Distribution
100%
Pregnancy Stages
100%
Pregnant Women
100%
Random Effects Distribution
100%
Bayesian Classification
100%
Semiparametric Bayesian
100%
Group Classification
100%
Hierarchical Model
100%
Longitudinal Biomarker
100%
Random Probability Measure
100%
Longitudinal Response
100%
Markov Chain Monte Carlo Methods
100%
Dirichlet Model
100%
Dirichlet Process Prior
100%
Gestational Age
100%
Random Effects
100%
Dirichlet Process
100%
Dependent Dirichlet Process
100%
Human Chorionic Gonadotropin Hormone
100%
Abnormal Pregnancy Outcomes
100%
INIS
distribution
100%
classification
100%
randomness
100%
dirichlet problem
100%
probability
66%
data
66%
women
66%
pregnancy
66%
mixtures
33%
values
33%
vectors
33%
design
33%
data analysis
33%
chains
33%
monte carlo method
33%
markov process
33%
hormones
33%
human chorionic gonadotropin
33%
Mathematics
Random Effect
100%
Bayesian Classification
100%
Probability Model
50%
Posterior Distribution
50%
Pregnant Woman
50%
Markov Chain Monte Carlo Method
50%
Observed Value
50%
Probability Measure
50%
Hierarchical Model
50%
Gestational Age
50%