Results 11 to 20 of about 168,901 (276)
On Finite and Non-Finite Bayesian Mixture Models
Journal of New Theory, 2023 In this paper, a Bayesian paradigm of a mixture model with finite and non-finite components is expounded for a generic prior and likelihood that can be of any distributional random noise.
Sodiq Adejare Olanrewaju +3 more
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Fast Compression of MCMC Output [PDF]
Entropy, 2021 We propose cube thinning, a novel method for compressing the output of an MCMC (Markov chain Monte Carlo) algorithm when control variates are available. It allows resampling of the initial MCMC sample (according to weights derived from control variates), while imposing equality constraints on the averages of these control variates, using the cube ...
Nicolas Chopin, Gabriel Ducrocq
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Uncertainty assessment for the Bayesian updating process of concrete strength properties
Acta Polytechnica CTU Proceedings, 2022 Reassessment of infrastructure buildings has become an essential approach to deal with increasing traffic loads on ageing infrastructure buildings and to verify the service-life of those structures.
Matthias Haslbeck +3 more
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Hierarchical Bayesian analysis of racehorse running ability and jockey skills
International Journal of Computer Science in Sport, 2023 In this paper, we proposed a new method of evaluating horse ability and jockey skills in horse racing. In the proposed method, we aimed to estimate unobservable individual effects of horses and jockeys simultaneously with regression coefficients for ...
Nakakita M., Nakatsuma T.
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Multilevel Delayed Acceptance MCMC
SIAM/ASA Journal on Uncertainty Quantification, 2023 29 pages, 12 ...
M. B. Lykkegaard +4 more
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A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD
Media Statistika, 2022 Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model parameters.
Etis Sunandi +2 more
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Journal of Statistical Software, 2021 We introduce the new package dmbc that implements a Bayesian algorithm for clustering a set of binary dissimilarity matrices within a model-based framework.
Sergio Venturini, Raffaella Piccarreta
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spNNGP R Package for Nearest Neighbor Gaussian Process Models
Journal of Statistical Software, 2022 This paper describes and illustrates functionality of the spNNGP R package. The package provides a suite of spatial regression models for Gaussian and non-Gaussian pointreferenced outcomes that are spatially indexed. The package implements several Markov
Andrew O. Finley +2 more
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Detecting recombination with MCMC [PDF]
Bioinformatics, 2002 Abstract Motivation: We present a statistical method for detecting recombination, whose objective is to accurately locate the recombinant breakpoints in DNA sequence alignments of small numbers of taxa (4 or 5). Our approach explicitly models the sequence of phylogenetic tree topologies along a multiple sequence alignment.
Dirk, Husmeier, Gráinne, McGuire
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Population pharmacokinetics analysis in Lixoft Monolix softwares
Фармакокинетика и Фармакодинамика, 2022 The article has discussed a step-by-step algorithm for developing population pharmacokinetics models in the Lixoft Monolix software. Features of population pharmacokinetics study’s methodology have described.
A. I. Platova
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