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. …”
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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. …”
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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. …”
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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. …”
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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

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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

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

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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

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

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

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

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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. …”
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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. …”
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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. …”
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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. …”
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Inference of Process Capability Index Cpy for 3-Burr-XII Distribution Based on Progressive Type-II Censoring by Rashad M. EL-Sagheer, Mustafa M. Hasaballah

“…The Bayesian estimates for the index Cpy have been obtained by the Markov Chain Monte Carlo method. Also, the credible intervals are constructed by using MCMC samples. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…Notably, the estimates it provides yield superior outcomes than those derived from the Markov chain Monte Carlo (MCMC) method in terms of standard errors, all while being unaffected by the selection of prior distributions.…”
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Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data by Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud EL-Morshedy

“…In Bayesian framework, the Bayes estimates of the unknown parameters are evaluated by applying the Markov chain Monte Carlo technique, and highest posterior density credible intervals are also carried out. …”
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Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications by Hanan Haj Ahmad

“…Since Bayes estimators cannot be expressed explicitly, Gibbs and the Markov Chain Monte Carlo techniques are utilized for Bayesian calculation. …”
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A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Nadhir Al-ansari, Ijaz Hussain, Fuad S. Al-Duais, Mohammed A. Naser

“…These ADPPs are obtained from Bayesian networks (BNs)-based Markov Chain Monte Carlo (MCMC) simulations. Results have shown that the MWADI correlates more with the standardized precipitation index (SPI) and the standardized precipitation temperature index (SPTI). …”
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