Results 41 to 50 of about 168,901 (276)
, 2020 Markov Chain Monte Carlo (MCMC) algorithms ubiquitously employ complex deterministic transformations to generate proposal points that are then filtered by the Metropolis-Hastings-Green (MHG) test. However, the condition of the target measure invariance puts restrictions on the design of these transformations.
Neklyudov, Kirill, Welling, Max
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Digital Forensics Report Management System for MCMC (DFRMS-MCMC)
, 2023 Malaysian Communication and Multimedia Commission (MCMC) uses a physical report storage system and a stand-alone management system. Both systems have a flaw because workers must come to the office to use it. Therefore, this Digital Forensics Report Case Management System is proposed to help solving those problems.
Zulkifli, Nordiana +4 more
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A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models
Journal of New Theory, 2020 Structural Equation Models (SEMs) with latent variables provide a general framework for modelling relationships in multivariate data. Although SEMs are most commonly used in studies involving intrinsically latent variables, such as happiness, quality of ...
Naci Murat, Mehmet Ali Cengiz
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Nuevo Itinerario, 2021 The article that we present here is part of a research / extension process that lasted for more than two years in the Puna and Chaco of Salta, in northern Argentina, with significant interaction with the Kolla de Hurcuro and Wichí de El peoples.
Facundo Gonzalez
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Adaptive Metropolis-coupled MCMC for BEAST 2 [PDF]
PeerJ, 2020 With ever more complex models used to study evolutionary patterns, approaches that facilitate efficient inference under such models are needed. Metropolis-coupled Markov chain Monte Carlo (MCMC) has long been used to speed up phylogenetic analyses and to
Nicola F. Müller, Remco R. Bouckaert
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Speeding Up MCMC by Efficient Data Subsampling
, 2018 We propose Subsampling MCMC, a Markov Chain Monte Carlo (MCMC) framework where the likelihood function for $n$ observations is estimated from a random subset of $m$ observations.
Kohn, Robert +3 more
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BarekengThis study compares the Log-linear Realized GARCH (LRG) and its extension with Continuous and Jump components (LRG-CJ) in modeling the volatility of financial assets, using daily data from the Tokyo Stock Price Index (TOPIX) over 2004–2011.
Didit Budi Nugroho +2 more
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Crop Breeding and Applied Biotechnology, 2021 The genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties in genotypes recommendation.
Leonardo Lopes Bhering +7 more
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Selecciones Matemáticas, 2023 The objective of the research is to estimate the transmission rate of an infection (β) in the SI epidemical model, using Bayesian statistical methods from observed data in Peru.
Emma Cambillo-Moyano +4 more
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On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
, 2019 This study investigates the effects of Markov chain Monte Carlo (MCMC) sampling in unsupervised Maximum Likelihood (ML) learning. Our attention is restricted to the family of unnormalized probability densities for which the negative log density (or ...
Han, Tian +4 more
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