The Rise of Markov Chain Monte Carlo Estimation for Psychometric Modeling by Roy Levy

“…Markov chain Monte Carlo (MCMC) estimation strategies represent a powerful approach to estimation in psychometric models. …”
Get full text

A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model by Sun Yapeng, Peng Hui, Xie Wenbiao

“…A fast and efficient Markov Chain Monte Carlo (MCMC) approach based on an efficient simulation smoother algorithm and an acceptance-rejection Metropolis–Hastings algorithm is designed to estimate the non-linear MM model. …”
Get full text

New Product Development in an Emerging Economy: Analysing the Role of Supplier Involvement Practices by Using Bayesian Markov Chain Monte Carlo Technique by Kanagi Kanapathy, Kok Wei Khong, Rob Dekkers

“…Further analysis using the Bayesian Markov Chain Monte Carlo algorithm, yielding a more credible and feasible differentiation, confirmed these results (even in the case of an emerging economy) and indicated that these practices have a 28% impact on variance of NPD project performance. …”
Get full text

Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation by Kevin McNally, Richard Cotton, John Cocker, Kate Jones, Mike Bartels, David Rick, Paul Price, George Loizou

“…We investigated the integration of physiologically based pharmacokinetic modelling, global sensitivity analysis, Bayesian inference, and Markov chain Monte Carlo simulation to obtain a population estimate of inhalation exposure to m-xylene. …”
Get full text

Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

Subjects: Get full text

BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

Subjects: Get full text

A comparative approach of analyzing data uncertainty in parameter estimation for a Lumpy Skin Disease model by Edwiga Renald, Miracle Amadi, Heikki Haario, Joram Buza, Jean M. Tchuenche, Verdiana G. Masanja

Subjects: Get full text

DEPENDENT PARAMETERS DEGRADATION RELIABILITY ASSESSMENT BASED ON JEFFREYS NONINFORMATIVE PRIOR PARAMETERS by YIN ZeKai, GUO Yu

Subjects: Get full text

Uncertainty impact of isotherm models on liquid-phase adsorption thermodynamics: A bayesian inference perspective by Thiago Reschützegger, Nina Paula Gonçalves Salau

Subjects: Get full text

An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

Subjects: Get full text

Informed Design of a Gravity Science Experiment for the Future Geophysical Investigation of the Uranian Moons by Valerio Filice, Gael Cascioli, Sébastien Le Maistre, Rose-Marie Baland, Antony Trinh, Erwan Mazarico, Sander Goossens

Subjects: Get full text

A Massively Parallel SMC Sampler for Decision Trees by Efthyvoulos Drousiotis, Alessandro Varsi, Alexander M. Phillips, Simon Maskell, Paul G. Spirakis

Subjects: Get full text

Remote sensing image segmentation based on spatially constrained Gaussian mixture model with unknown class number by Quan-hua ZHAO, Xue SHI, Yu WANG, Yu LI

Subjects: “…reversible jump Markov chain Monte Carlo (RJMCMC)…”
Get full text

Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies by Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang

Subjects: Get full text

A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

Subjects: Get full text

Extropy estimation of Weibull distribution under upper records by Nour El Houda Zouaoui

“…We apply the Markov Chain Monte Carlo (MCMC) method to provide a Bayesian estimator. …”
Get full text

The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency by Muteb Faraj Alharthi

“…The second is to assess the Martingale method by comparing its performance to that of Markov Chain Monte Carlo (MCMC) methods in terms of estimating this parameter and the infection and removal rate parameters given only removal data. …”
Get full text

STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD by GAN Lu, CHEN Hui

“…Firstly, an objective function based on the measured frequency and mode shapes was established, and then the Markov chain Monte Carlo method with delayed rejection was used for stochastics sampling, and the posterior probabilities of structural parameters in intact and damage states were obtained. …”
Get full text

A Bayesian approach to discrete multiple outcome network meta-analysis. by Rebecca Graziani, Sergio Venturini

“…An adaptive Markov Chain Monte Carlo algorithm is devised for running posterior inference. …”
Get full text

Parameter Estimation on a Stochastic SIR Model with Media Coverage by Changguo Li, Yongzhen Pei, Meixia Zhu, Yue Deng

“…In order to reduce the computational load, the Newton-Raphson algorithm and Markov Chain Monte Carlo (MCMC) technique are incorporated with maximum likelihood estimation. …”
Get full text