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              Books by Yanan Fan

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              Handbook of Approximate Bayesian Computation

              Handbook of Approximate Bayesian Computation (Hardback)

              Edited by Sisson, Scott A.; Fan, Yanan; Beaumont, Mark

              • RRP: $329.00
              • $329.00
              • In Stock At Publisher

              Approximate Bayesian Computation (ABC) methods, also known as likelihood-free inference methods, can be used to solve very complex ( computationally intractable ) problems. A huge amount of research has been conducted in this area over the last decade and a varied suite of algori...thms, models, techniques, and diagnostics have seen widespread application at the forefront of scientific research in a broad array of disciplines. This book presents an overview of ABC methods with a practical focus through lots of real examples and an R package for their implementation.
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              ISBN 9781439881507
              Released NZ 30 Aug 2018
              Publisher Taylor & Francis Inc
              Interest Age 16+ years
              Series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
              Availability
              In stock at publisher; delivery usually 15-20 working days due to covid19 delays
              View details for this title
              Handbook of Approximate Bayesian Computation
               

              Handbook of Approximate Bayesian Computation (Paperback)

              Edited by Sisson, Scott A.; Fan, Yanan; Beaumont, Mark

              • RRP: $125.00
              • $125.00
              • Pub Date
                18 Dec 20

              As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice an...d application of ABC methods. These simple, but powerful statistical techniques, take Bayesian statistics beyond the need to specify overly simplified models, to the setting where the model is defined only as a process that generates data. This process can be arbitrarily complex, to the point where standard Bayesian techniques based on working with tractable likelihood functions would not be viable. ABC methods finesse the problem of model complexity within the Bayesian framework by exploiting modern computational power, thereby permitting approximate Bayesian analyses of models that would otherwise be impossible to implement. 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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              ISBN 9780367733728
              Released NZ 18 Dec 2020
              Publisher Taylor & Francis Ltd
              Interest Age General Audience
              Availability
              Available for pre-order, ships once released
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              Flexible Bayesian Regression Modelling
                

              Flexible Bayesian Regression Modelling (Trade Paperback / Paperback)

              Edited by Fan, Yanan; Nott, David; Smith, Mike S.; Dortet-Bernadet, Jean-Luc

              • RRP: $384.50
              • $271.08
              • Save $113.42
              • In Stock US

              Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need f...or considerable flexibility in modeling techniques. It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribution (such as quantile regression); and finally models that allow the mean function to be flexible (such as spline models). Each chapter discusses the key aspects of fitting a regression model, including variable selection, identification of outliers, assumptions, informative output, and the interpretation of results. R programs accompany each method. This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, and climate change.
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              ISBN 9780128158623
              Released NZ 31 Oct 2019
              Publisher Elsevier Science Publishing Co
              Interest Age General Audience
              Availability
              Internationally sourced; ships 6-14 working days
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