【预订】Non-Linear Time Series 9783319348711
美国库房发货,通常付款后3-5周到货!
/ 2016-09-22
Product Details 基本信息 ISBN-13 书号 9783319348711 Author 作者 Kamil Feridun Turkman Universidade de Lisboa Faculdade de Format 版本 平装-胶订 Pages Number 页数 245页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2016-09-22 Product Dimensions 商品尺寸 9.2 x 6.1 x 0.5 cm Shipping Weight 商品重量 403g Language 语种 英语 Book Contents 内容简介 This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimati
¥520.00
【预订】Non-Linear Time Series 9783319070278
美国库房发货,通常付款后3-5周到货!
/ 2014-10-08
Product Details 基本信息 ISBN-13 书号 9783319070278 Author 作者 Turkman Format 版本 精装 Pages Number 页数 245页 Publisher 出版社 Springer International Publishing Publication Date 出版日期 2014-10-08 Shipping Weight 商品重量 555g Language 语种 英语 Book Contents 内容简介 This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which b
¥520.00
【预订】Computational Bayesian Statistics 9781108481038
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/ 2019-02-28
Product Details 基本信息 ISBN-13 书号 9781108481038 Author 作者 M. Antónia Amaral Turkman Format 版本 精装 Pages Number 页数 254页 Publisher 出版社 Cambridge University Press Publication Date 出版日期 2019-02-28 Language 语种 英语 Book Contents 内容简介 Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models
¥995.00
【预订】Computational Bayesian Statistics 9781108703741
美国库房发货,通常付款后3-5周到货!
/ 2019-02-28
Product Details 基本信息 ISBN-13 书号 9781108703741 Author 作者 M. Antónia Amaral Turkman Format 版本 平装-胶订 Pages Number 页数 254页 Publisher 出版社 Cambridge University Press Publication Date 出版日期 2019-02-28 Language 语种 英语 Book Contents 内容简介 Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian
¥374.00