Results 21 to 30 of about 149,229 (279)
Ciência Rural, 2008 Neste estudo, utilizou-se a metodologia Bayesiana para estimar o coeficiente de endogamia e a taxa de fecundação cruzada de uma população diplóide por meio do modelo aleatório de COCKERHAM para freqüências alélicas.
Ricardo Luis dos Reis +4 more
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Quantum Gibbs Samplers: The Commuting Case [PDF]
Communications in Mathematical Physics, 2016 42 pages, 4 ...
Kastoryano, Michael J. +1 more
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Explaining the Gibbs Sampler [PDF]
The American Statistician, 1992 Abstract Computer-intensive algorithms, such as the Gibbs sampler, have become increasingly popular statistical tools, both in applied and theoretical work. The properties of such algorithms, however, may sometimes not be obvious. Here we give a simple explanation of how and why the Gibbs sampler works.
George Casella, Edward I. George
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Genetics Selection Evolution, 2019 Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
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Uniform Ergodicity of the Particle Gibbs Sampler [PDF]
Scandinavian Journal of Statistics, 2015 AbstractThe particle Gibbs sampler is a systematic way of using a particle filter within Markov chain Monte Carlo. This results in an off‐the‐shelf Markov kernel on the space of state trajectories, which can be used to simulate from the full joint smoothing distribution for a state space model in a Markov chain Monte Carlo scheme.
Fredrik Lindsten +2 more
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Genetics Selection Evolution, 2007 Simulated data were used to investigate the influence of the choice of priors on estimation of genetic parameters in multivariate threshold models using Gibbs sampling.
Hoeschele Ina +2 more
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Modeling the crashes count using finite mixture models
Muthanna Journal of Pure Science, 2020 This paper aims at the modeling the crashes count in Al Muthanna governance using finite mixture model. We use one of the most common MCMC method which is called the Gibbs sampler to implement the Bayesian inference for estimating the model parameters.
Safaa K. Kadhem
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Block Gibbs samplers for logistic mixed models: Convergence properties and a comparison with full Gibbs samplers [PDF]
Electronic Journal of Statistics, 2021 The logistic linear mixed model (LLMM) is one of the most widely used statistical models. Generally, Markov chain Monte Carlo algorithms are used to explore the posterior densities associated with the Bayesian LLMMs. Polson, Scott and Windle's (2013) Polya-Gamma data augmentation (DA) technique can be used to construct full Gibbs (FG) samplers for the ...
Rao, Yalin, Roy, Vivekananda
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Posterior analysis of stochastic frontier models using Gibbs sampling [PDF]
, 1992 In this paper we describe the use of Gibbs sampling methods for making posterior inferences in stochastic frontier models with composed error. We show how the Gibbs sampler can greatly reduce the computational difficulties involved in analyzing such ...
Osiewalski, Jacek +2 more
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A navigation satellite selection algorithm for optimized positioning based on Gibbs sampler
International Journal of Distributed Sensor Networks, 2020 In various applications of satellite navigation and positioning, it is a key topic to select suitable satellites for positioning solutions to reduce the computational burden of the receiver in satellite selection system.
Na Xia +4 more
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