Likelihood-free Methods for Complex Models
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Köp båda 2 för 2800 kr"The Handbook of Approximate Bayesian Computation presents basic approaches as well as extension and mathematical details about ABC approaches. Advantages (simplicity, wide applicability) as well as challenges (computational burden, various assumptions/choice of tuning parameters) of ABC are discussed in theory and application ... the Handbook of Approximate Bayesian Computation is an excellent book and an indispensable choice for all (beginners and advanced users) who are interested in obtaining a deeper understanding of ABC approaches in application as well as statistical theory." -Heiko Gtte, Merck Healthcare KGaA, Darmstadt, Germany
Scott Sission is Professor, ARC Future Fellow and Head of Statistics in the School of Mathematics and Statistics at UNSW. Yanan Fan is a Senior Lecturer at the School of Mathematics and Statistics at UNSW. Mark Beaumont is Professor of Statistics at the University of Bristol.
Introduction Overview of approximate Bayesian computation: S. A. Sisson, Y. Fan and M. A. Beaumont On the history of ABC: S.Tavare Regression approaches: M. G. B. Blum Monte Carlo samplers for ABC: Y. Fan and S. A. Sisson Summary statistics: D. Prangle Likelihood-free model choose: J.-M. Marin, P. Pudlo, A. Estoup and C. Robert ABC and indirect inference: C. C. Drovandi High-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. Viola Informed Choices: How to calibrate ABC with hypothesis testing: O. Ratmann, A. Camacho, S. Hu and C. Coljin Approximating the likelihood in approximate Bayesian computation: C. C. Drovandi, C. Grazian, K. Mengersen and C. Robert Software: D.Wegmann Divide and conquer in ABC: Expectation-Propagation algorithms for likelihood-free inference: S. Barthelme, N. Chopin and V. Cottet SMC-ABC methods for estimation of stochastic simulation models of the limit order book: G.W. Peters, E. Panayi and F. Septier Inferences on the acquisition of multidrug resistance in Mycobacterium tuberculosis using molecular epidemiological data: G. S. Rodrigues, S. A. Sisson, M. M. Tanaka ABC in Systems Biology: J. Liepe and M. P. H. Stumpf Application of approximate Bayesian computation to make inference about the genetic history of Pygmy hunter-gatherers populations from Western Central Africa: A. Estoup et al ABC for climate: dealing with expensive simulators: P. B. Holden, N. R. Edwards, J. Hensman and R. D. Wilkinson ABC in ecological modelling: M. Fasiolo and S. N. Wood ABC in Nuclear Imaging: Y. Fan, S. R. Meikle, G. Angelis and A. Sitek