Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach

@article{Koutroumpas2016BayesianPE,
  title={Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach},
  author={Konstantinos Koutroumpas and Paolo Ballarini and Irene Votsi and Paul-Henry Courn{\`e}de},
  journal={Bioinformatics},
  year={2016},
  volume={32 17},
  pages={i781-i789}
}
MOTIVATION Likelihood-free methods, like Approximate Bayesian Computation (ABC), have been extensively used in model-based statistical inference with intractable likelihood functions. When combined with Sequential Monte Carlo (SMC) algorithms they constitute a powerful approach for parameter estimation and model selection of mathematical models of complex biological systems. A crucial step in the ABC-SMC algorithms, significantly affecting their performance, is the propagation of a set of… CONTINUE READING