Handbook of Approximate Bayesian Computation by Scott A Sisson
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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Handbook of Markov Chain Monte Carlo
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Handbook of Statistical Methods for Case-Control Studies
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Handbook of Meta-Analysis
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Handbook of Mixture Analysis
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Handbook of Graphical Models
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Handbook of Environmental and Ecological Statistics
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Handbook of Neuroimaging Data Analysis
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Handbook of Bayesian Variable Selection
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Handbook of Survival Analysis
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Handbook of Statistical Methods for Randomized Controlled Trials
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Handbook of Quantile Regression
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Handbook of Cluster Analysis
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Handbook of Design and Analysis of Experiments
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Handbook of Forensic Statistics
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Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials
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Handbook of Infectious Disease Data Analysis
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Handbook of Spatial Statistics
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Handbook of Missing Data Methodology
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Handbook of Generalized Pairwise Comparisons
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Handbook of Sharing Confidential Data
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Handbook of Statistical Methods for Precision Medicine
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Handbook of Multiple Comparisons
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Handbook of Spatial Epidemiology
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Handbook of Discrete-Valued Time Series
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Handbook of Measurement Error Models
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Handbook of Bayesian, Fiducial, and Frequentist Inference
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Longitudinal Data Analysis
"The Handbook of Approximate Bayesian Computation presents basic approaches as well as extension and mathematical details about ABC approachesAdvantages (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 Götte, 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.
| SKU | Unavailable |
| ISBN 13 | 9781439881507 |
| ISBN 10 | 1439881502 |
| Title | Handbook of Approximate Bayesian Computation |
| Author | Scott A Sisson |
| Series | Chapman And Hall Crc Handbooks Of Modern Statistical Methods |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Inc |
| Year published | 2018-08-10 |
| Number of pages | 662 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |