Monte-Carlo Inference for Population Pharmaco(kinetics|dynamics)
By Julien Cornebise (paper co-authors Gareth Peters, Arnaud Doucet)
What does the body do to the drugs, and what do the drugs do to the body ? These are the exciting questions asked by pharmacokinetics (PK)
and pharmacodynamics (PD), and finding the answers is a giant playfield for computational statistics.
After an introduction to typical PKPD challenges, emphasizing the most recent models using stochastic differential equations, I will outline
how we endeavor to tackle them using simulation-based Bayesian inference, especially Particle Markov Chain Monte Carlo (PMCMC)
algorithms. Few prerequisites assumed: introductory talk to share the fun of those applications and introduce PMCMC to newcomers in the lab!
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