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The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.
The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.
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Autorenporträt
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.
Inhaltsangabe
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
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
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