Results 31 to 40 of about 54,345 (310)
Archives of Pharmaceutical Sciences Ain Shams University, 2022 Renal Organic Cation Transporter 2 (OCT2) plays a major role in metformin elimination. Daclatasvir, a Direct-Acting Antiviral (DAA), is an OCT2 inhibitor.
Mohamed Raslan +2 more
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MCMC‐driven importance samplers
Applied Mathematical Modelling, 2022 Monte Carlo sampling methods are the standard procedure for approximating complicated integrals of multidimensional posterior distributions in Bayesian inference. In this work, we focus on the class of Layered Adaptive Importance Sampling (LAIS) scheme, which is a family of adaptive importance samplers where Markov chain Monte Carlo algorithms are ...
F. Llorente +4 more
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Spbsampling: An R Package for Spatially Balanced Sampling
Journal of Statistical Software, 2022 The basic idea underpinning the theory of spatially balanced sampling is that units closer to each other provide less information about a target of inference than units farther apart.
Francesco Pantalone +2 more
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pexm: A JAGS Module for Applications Involving the Piecewise Exponential Distribution
Journal of Statistical Software, 2021 In this study, we present a new module built for users interested in a programming language similar to BUGS to fit a Bayesian model based on the piecewise exponential (PE) distribution.
Vinícius D. Mayrink +2 more
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An Introduction to MCMC for Machine Learning [PDF]
Machine Learning, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christophe Andrieu +3 more
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TI-Stan: Adaptively Annealed Thermodynamic Integration with HMC †
Proceedings, 2019 We present a novel implementation of the adaptively annealed thermodynamic integration technique using Hamiltonian Monte Carlo (HMC). Thermodynamic integration with importance sampling and adaptive annealing is an especially useful method for estimating ...
R. Wesley Henderson, Paul M. Goggans
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MCMC and GLMs for estimating regression parameters: Evidence from non-life Egyptian insurance sector [PDF]
Journal of Humanities and Applied Social Sciences, 2019 Purpose – The purpose of this study is to estimate the linear regression parameters using two alternative techniques. First technique is to apply the generalized linear model (GLM) and the second technique is the Markov Chain Monte Carlo (MCMC) method ...
Mahmoud ELsayed, Amr Soliman
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Globally Centered Autocovariances in MCMC [PDF]
Journal of Computational and Graphical Statistics, 2022 Autocovariances are a fundamental quantity of interest in Markov chain Monte Carlo (MCMC) simulations with autocorrelation function (ACF) plots being an integral visualization tool for performance assessment. Unfortunately, for slow-mixing Markov chains, the empirical autocovariance can highly underestimate the truth.
Medha Agarwal, Dootika Vats
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An MCMC approach to classical estimation [PDF]
Journal of Econometrics, 2003 This is an archival version of the article "An MCMC approach to classical estimation", Journal of econometrics 115 (2), August 2003, pages 293-346. This version does not reflect the corrections made to the article during the publication process; it contains additional two remarks added, as indicated in the text.
Chernozhukov, Victor, Hong, Han
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MCMC METHODS FOR DIFFUSION BRIDGES [PDF]
Stochastics and Dynamics, 2008 We present and study a Langevin MCMC approach for sampling nonlinear diffusion bridges. The method is based on recent theory concerning stochastic partial differential equations (SPDEs) reversible with respect to the target bridge, derived by applying the Langevin idea on the bridge pathspace.
Beskos, Alexandros +3 more
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