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CoRR, 2014 Markov Chain Monte Carlo (MCMC) algorithms are a workhorse of probabilistic modeling and inference, but are difficult to debug, and are prone to silent failure if implemented naively. We outline several strategies for testing the correctness of MCMC algorithms.
Roger Grosse, David Duvenaud
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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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Multilevel Delayed Acceptance MCMC [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2022 29 pages, 12 ...
Mikkel B. Lykkegaard +4 more
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MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology
Frontiers in Applied Mathematics and Statistics, 2019 Ordinary differential equation systems (ODEs) are frequently used for dynamical system modeling in many science fields such as economics, physics, engineering, and systems biology.
Holger Frohlich
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Annual Review of Statistics and Its Application, 2022 Markov chain Monte Carlo is the engine of modern Bayesian statistics, being used to approximate the posterior and derived quantities of interest. Despite this, the issue of how the output from a Markov chain is postprocessed and reported is often overlooked.
South, Leah +3 more
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Tehran Stock Exchange Return Forecasting: Comparison of Bayesian, Exponential Smoothing and Box Jenkins Approaches [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2022 Stock returns forecasting is very crucial for investors, share-holders and arbiters. Different methods have been developed for this purpose. In general, there are four methods of forecasting in stock markets, which are; Technical Analysis, Fundamental ...
Mojtaba Rostami +1 more
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Parameter Estimation in Mass Balance Model Applied in Fixed Bed Adsorption Using the Markov Chain Monte Carlo Method [PDF]
Journal of Heat and Mass Transfer Research, 2022 In this work, a mathematical model is adopted to predict the breakthrough curve in a fixed bed adsorption process, neglecting radial dispersion effects in the bed, with properties such as interstitial velocity and porosity being constant, linear ...
Rhaisa Tavares +6 more
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Journal of Open Research Software, 2021 The North American Breeding Bird Survey (BBS) is the primary ecological monitoring program used to assess the population, status, and trends of North American birds.
Brandon P. M. Edwards, Adam C. Smith
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Efficient Bayesian Structural Equation Modeling in Stan
Journal of Statistical Software, 2021 Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle +3 more
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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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