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lucasfcosta.com | ||
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ggcarvalho.dev
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| | | | | Using the power of randomness to answer scientific questions. | |
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dfm.io
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| | | | | [AI summary] This document provides a comprehensive guide to estimating autocorrelation times in Markov Chain Monte Carlo (MCMC) simulations. It begins by explaining the importance of autocorrelation in MCMC and how it affects the effective sample size. The text then introduces several methods for estimating autocorrelation times, including the Goodman & Weare (2010) method and a newer algorithm developed by the author (DFM 2017). The document also discusses the limitations of these methods with short chains and introduces a maximum likelihood approach using the celerite library to fit an autocorrelation model. Finally, it concludes with recommendations for choosing appropriate chain lengths based on the estimated autocorrelation times. | |
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www.erichgrunewald.com
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| | | | | Impact above Replacement - Texts on this and that. | |
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errorstatistics.com
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| | | Stephen Senn Head, Methodology and Statistics Group, Competence Center for Methodology and Statistics (CCMS), Luxembourg Delta Force To what extent is clinical relevance relevant? Inspiration This note has been inspired by a Twitter exchange with respected scientist and famous blogger David Colquhoun. He queried whether a treatment that had 2/3 of an effect that would... | ||
