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[null,"1.","Record Nr.",null,"UNINA9910303447503321"]
[null,null,"Autore",null,"Gao Guangyuan"]
[null,null,"Titolo",null,"Bayesian Claims Reserving Methods in Non-life Insurance with Stan [[electronic resource] ] : An Introduction / / by Guangyuan Gao"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"981-13-3609-1"]
[null,null,"Descrizione fisica",null,"1 online resource (205 pages)"]
[null,null,"Disciplina",null,"519.542"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Economics"]
[{"$nulls":4},"Bayesian Inference"]
[{"$nulls":4},"Statistics for Business, Management, Economics, Finance, Insurance"]
[{"$nulls":4},"Economic Theory/Quantitative Economics/Mathematical Methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter1 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."]
[null,null,null,"Sommario/riassunto","This 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. ."]