Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
In quantitative biology, mathematical models are used to describe and analyze biological processes. The parameters of these models are usually unknown and need to be estimated from experimental data using statistical methods. In particular, Markov chain Monte Carlo (MCMC) methods have become increasingly popular as they allow for a rigorous …