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Titlebook: Effective Statistical Learning Methods for Actuaries II; Tree-Based Methods a Michel Denuit,Donatien Hainaut,Julien Trufin Textbook 2020 Sp

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發(fā)表于 2025-3-21 18:00:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Effective Statistical Learning Methods for Actuaries II
副標(biāo)題Tree-Based Methods a
編輯Michel Denuit,Donatien Hainaut,Julien Trufin
視頻videohttp://file.papertrans.cn/303/302811/302811.mp4
概述Provides an exhaustive and self-contained presentation of tree-based methods applied to insurance.Gives a rigorous statistical analysis of tree-based methods.Fills a gap in the literature on artificia
叢書名稱Springer Actuarial
圖書封面Titlebook: Effective Statistical Learning Methods for Actuaries II; Tree-Based Methods a Michel Denuit,Donatien Hainaut,Julien Trufin Textbook 2020 Sp
描述.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, master‘s students in actuarial sciences and actuaries wishing to update their skills in machine learning will find the book useful...This is the second of three volumes entitled .Effective Statistical Learning Methods for Actuaries.. Written by actuaries for actuaries, this series offers a comprehensive overview of insurancedata analytics with applications to P&C, life and health insurance..
出版日期Textbook 2020
關(guān)鍵詞tree-based methods for insurance; supervised learning; machine learning; actuarial modeling; insurance r
版次1
doihttps://doi.org/10.1007/978-3-030-57556-4
isbn_softcover978-3-030-57555-7
isbn_ebook978-3-030-57556-4Series ISSN 2523-3262 Series E-ISSN 2523-3270
issn_series 2523-3262
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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978-3-030-57555-7Springer Nature Switzerland AG 2020
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Effective Statistical Learning Methods for Actuaries II978-3-030-57556-4Series ISSN 2523-3262 Series E-ISSN 2523-3270
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,Zur Elektrodynamik bewegter K?rper,The pure premium is the amount collected by the insurance company, to be re-distributed as benefits among policyholders and third parties in execution of the contract, without loss nor profit. Under the conditions of validity of the law of large numbers, the pure premium is the expected amount of co
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