Umberto Picchini

approximate bayesian computation mcmc stochastic differential equation abc state space model parameter estimation hidden markov model likelihood-free particle filters sequential monte carlo bayesian inference markov chain monte carlo intractable likelihood mixed effects synthetic likelihoods systems biology inference simulation-based inference sequential importance sampling sdes bayesian pseudomarginal resampling stratified monte carlo pharmacokinetics/pharmacodynamics saem expectation maximization stochastic approximation em synthetic likelihood tumor growth repeated measurements xenographic tumor experiment hierarchical models particle mcmc incomplete data chaotic models noisy data data cloning partially observed stochastic process maximum likelihood estimation partially observed data protein folding stochastic processes partial observations