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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; ships 6-12 working days
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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
              • $384.50
              • 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 6-12 working days
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