Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
{{output}}
Computational systems biology is concerned with the development of detailed mechanistic models of biological processes. Such models are often stochastic and analytically intractable, containing uncertain parameters that must be estimated from time course data.... ...
