Tag Archives: software

Resources for stochastic differential equation mixed-effects models

[tl;dr here is a collection of resources for SDEMEMs] Mixed-effects models (MEM) are hierarchical models suited for “population inference”, where instead of fitting data from a single experiment, we are interested in learning characteristics common to runs of the same … Continue reading

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Why and how pseudo-marginal MCMC work for exact Bayesian inference

I will describe a breakthrough strategy for “exact-approximate” Bayesian inference. The apparent contradiction in the terminology is due to the surprising result in Beaumont (2003) and Andrieu and Roberts (2009) where it is shown that plugging a non-negative and unbiased … Continue reading

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