Sampling from Any Distribution by MCMC

Marcel van Oijen ()

Chapter Chapter 6 in Bayesian Compendium, 2020, pp 33-38 from Springer

Abstract: Abstract The Bayesian approach to parameter estimation requires modellers to make a major mental shift: we no longer aim to find a single ‘best’ parameter vector—instead we aim to determine the posterior probability distribution for the parameters.

Date: 2020
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DOI: 10.1007/978-3-030-55897-0_6

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