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OverviewThis book first provides a review of various aspects of Bayesian statistics. It then investigates three types of claims reserving models in the Bayesian framework: chain ladder models, basis expansion models involving a tail factor, and multivariate copula models. For the Bayesian inferential methods, this book largely relies on Stan, a specialized software environment which applies Hamiltonian Monte Carlo method and variational Bayes. Full Product DetailsAuthor: Guangyuan GaoPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 2018 ed. Weight: 0.500kg ISBN: 9789811336089ISBN 10: 9811336083 Pages: 205 Publication Date: 17 January 2019 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter1 Introduction.- Chapter2 Bayesian Fundamentals.- Chapter3 Advanced Bayesian Computation.- Chapter4 Bayesian Chain Ladder Models.- Chapter5 Bayesian Basis Expansion Models.- Chapter6 Multivariate Modelling Using Copulas.- Chapter7 Epilogue.ReviewsAuthor InformationGuangyuan Gao, lecturer in actuarial science, School of Statistics at the Renmin University of China. Tab Content 6Author Website:Countries AvailableAll regions |