MCMC and Complex Models

Marcel van Oijen ()

Chapter Chapter 9 in Bayesian Compendium, 2020, pp 63-67 from Springer

Abstract: Abstract In this chapter we focus on models with multivariate output. That includes most process-based models (PBMs). Models with multivariate output are not fundamentally different from the simpler models we studied in the previous chapters, we can still write them as functions $$f$$ of their input consisting of covariates $$x$$ and parameters $$\theta $$.

Date: 2020
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DOI: 10.1007/978-3-030-55897-0_9

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