Handbook of Approximate Bayesian Computation (Paperback, 1)

IntroductionOverview of approximate Bayesian computation: S. A. Sisson, Y. Fan and M. A. BeaumontOn the history of ABC: S.TavareRegression approaches: M. G. B. BlumMonte Carlo samplers for ABC: Y. Fan and S. A. SissonSummary statistics: D. PrangleLikelihood-free model choose: J.-M. Marin, P. Pudlo, A. Estoup and C. RobertABC and indirect inference: C. C. DrovandiHigh-dimensional ABC: D. Nott, V. Ong, Y. Fan and S. A. Sisson Theoretical and methodological aspects of MCMC computations with noisy likelihoods: C. Andrieu, A.Lee and M. ViolaInformed Choices: How to calibrate ABC with hypothesis testing: O. Ratmann, A. Camacho, S. Hu and C. ColjinApproximating the likelihood in approximate Bayesian computation: C. C. Drovandi, C. Grazian, K. Mengersen and C. RobertSoftware: D.WegmannDivide and conquer in ABC: Expectation-Propagation algorithms for likelihood-free inference: S. Barthelme, N. Chopin and V. CottetSMC-ABC methods for estimation of stochastic simulation models of the limit order book: G.W. Peters, E. Panayi and F. SeptierInferences on the acquisition of multidrug resistance in Mycobacterium tuberculosis using molecular epidemiological data: G. S. Rodrigues, S. A. Sisson, M. M. TanakaABC in Systems Biology: J. Liepe and M. P. H. StumpfApplication of approximate Bayesian computation to make inference about the genetic history of Pygmy hunter-gatherers populations from Western Central Africa: A. Estoup et alABC for climate: dealing with expensive simulators: P. B. Holden, N. R. Edwards, J. Hensman and R. D. WilkinsonABC in ecological modelling: M. Fasiolo and S. N. WoodABC in Nuclear Imaging: Y. Fan, S. R. Meikle, G. Angelis and A. Sitek