Effective Statistical Learning Methods for Actuaries II

DOI10.1007/978-3-030-57556-4zbMath1451.62003OpenAlexW4241524180MaRDI QIDQ5138443

Donatien Hainaut, Julien Trufin, Michel M. Denuit

Publication date: 3 December 2020

Published in: Springer Actuarial (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-57556-4

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to actuarial sciences and financial mathematics (62P05) Generalized linear models (logistic models) (62J12) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to game theory, economics, and finance (91-01) Actuarial mathematics (91G05)

Related Items (3)

Stochastic loss reserving with mixture density neural networks ⋮ Testing for more positive expectation dependence with application to model comparison ⋮ Response versus gradient boosting trees, GLMs and neural networks under Tweedie loss and log-link

Uses Software

• R

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