Michael Stumpf

approximate bayesian computation complex networks abc model selection network evolution systems biology likelihood free inference experimental design zebrafish haematopoietic stem cells inverse problems stress response bayesian networks allocation samplers gene regulation network inference hierarchical dirichlet processes michaelis-menten kinetics proteasome dynamics statistical inference topological sensitivity analysis big models gaussian process regression bayesian statistics gradient matching systems biology; transcriptional regulation; netwo central limit theorems renormalization group theory scaling behaviour power laws networks graph spectra gpu royal statistical society