因变量风险保险统计理论 测算、定量与模型 Actuarial Theory For Dependent Risks 英文 专类统计学MichelDenuit
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【中商原版】投诉计算的保险精算建模Actuarial Modelling Of Claim Michel Denuit
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【预订】Actuarial Modelling Of Claim Counts - Risk Classificatio 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9780470026779 Author 作者 Michel Denuit Format 版本 精装 Pages Number 页数 384页 Publisher 出版社 Wiley-Interscience Publication Date 出版日期 2007-08-10 Language 语种 英语 Book Contents 内容简介 There are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists’ rates are subject to experience rating systems, including credibil
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海外直订Effective Statistical Learning Methods for Actuaries I:
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预订Effective Statistical Learning Methods for Actuaries I:GLM 预订,预计下单后3-6周左右发货!
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【预订】Effective Statistical Learning Methods for Actuaries III 美国库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783030258269 Author 作者 Denuit Format 版本 平装-胶订 Pages Number 页数 250页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2019-10-18 Language 语种 英语 Book Contents 内容简介 This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible.Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting.Requiring only a basic knowledge of statistics
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【预订】Effective Statistical Learning Methods for Actuaries II 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783030575557 Author 作者 Denuit Michel Format 版本 平装-胶订 Pages Number 页数 228页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-01-21 Language 语种 其它(含多语) Book Contents 内容简介 This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities.The exposition alternates between methodological aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. In particular, mas
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Effective Statistical Learning Methods for Actuaries I 97830 现货图书
Product Details 基本信息 ISBN-13 书号 9783030258191 Author 作者 Denuit Michel Format 版本 平装-胶订 Pages Number 页数 441页 Publisher 出版社 Springer International Publishing Publication Date 出版日期 2019-10-31 Product Dimensions 商品尺寸 9.2 x 6.1 x 0.9 cm Shipping Weight 商品重量 1410g Language 语种 英语 Book Contents 内容简介 This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition altern
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海外直订Effective Statistical Learning Methods for Actuaries II:
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