Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3244-4
Abstract: The goal of constructing models from examples has been approached from different perspectives. Statistical methods have been widely used and proved effective in generating accurate models. Finite Gaussian mixture models have been widely used to… read more here.
Keywords: bayesian inference; inverted dirichlet; reversible jump; generalized inverted ... See more keywords
CU-MSDSp: A flexible parallelized Reversible jump Markov chain Monte Carlo method
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DOI: 10.1016/j.softx.2021.100664
Abstract: Abstract Reversible jump Markov chain Monte Carlo (RJMCMC) is a powerful Bayesian trans-dimensional algorithm for performing model selection while inferring the distribution of model parameters. The present work introduces CU-MSDSp as an open source and… read more here.
Keywords: monte carlo; chain monte; markov chain; jump markov ... See more keywords
Gravity and magnetic joint inversion for basement and salt structures with the reversible-jump algorithm
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DOI: 10.1093/gji/ggab251
Abstract: Gravity and magnetic data resolve the Earth with variable spatial resolution, and Earth structure exhibits both discontinuous and gradual features. Therefore, model parametrization complexity should be able to address such variability by locally adapting to… read more here.
Keywords: basement; salt; gravity magnetic; reversible jump ... See more keywords
Use of the reversible jump Markov chain Monte Carlo algorithm to select multiplicative terms in the AMMI-Bayesian model
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DOI: 10.1371/journal.pone.0279537
Abstract: The model selection stage has become a central theme in applying the additive main effects and multiplicative interaction (AMMI) model to determine the optimal number of bilinear components to be retained to describe the genotype-by-environment… read more here.
Keywords: algorithm; reversible jump; multiplicative terms; model ... See more keywords
REVERSIBLE JUMP MCMC METHOD FOR HIERARCHICAL BAYESIAN MODEL SELECTION IN MOVING AVERAGE MODEL
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DOI: 10.21660/2019.56.4509
Abstract: Moving average (MA) is one of the mathematical models that is often used to model data in various fields. Noise in the MA model is often assumed to be normally distributed. In application, it is… read more here.
Keywords: mcmc method; parameter; model; reversible jump ... See more keywords