Denuit, Michel; Hainaut, Donatien; Trufin, Julien Effective statistical learning methods for actuaries II. Tree-based methods and extensions. (English) Zbl 1451.62003 Springer Actuarial. Lecture Notes. Cham: Springer (ISBN 978-3-030-57555-7/pbk; 978-3-030-57556-4/ebook). x, 228 p. (2020). MSC: 62-01 62P05 62J12 62M10 68T05 62H30 91-01 91G05 PDF BibTeX XML Cite \textit{M. Denuit} et al., Effective statistical learning methods for actuaries II. Tree-based methods and extensions. Cham: Springer (2020; Zbl 1451.62003) Full Text: DOI
Denuit, Michel; Hainaut, Donatien; Trufin, Julien Effective statistical learning methods for actuaries I. GLMs and extensions. (English) Zbl 1426.62003 Springer Actuarial. Lecture Notes. Cham: Springer (ISBN 978-3-030-25819-1/pbk; 978-3-030-25820-7/ebook). xvi, 441 p. (2019). MSC: 62-01 62P05 62J12 62M10 68T05 62H30 91-01 91G05 PDF BibTeX XML Cite \textit{M. Denuit} et al., Effective statistical learning methods for actuaries I. GLMs and extensions. Cham: Springer (2019; Zbl 1426.62003) Full Text: DOI
Denuit, Michel; Hainaut, Donatien; Trufin, Julien Effective statistical learning methods for actuaries III. Neural networks and extensions. (English) Zbl 1426.62002 Springer Actuarial. Lecture Notes. Cham: Springer (ISBN 978-3-030-25826-9/pbk; 978-3-030-25827-6/ebook). xiii, 250 p. (2019). MSC: 62-01 62P05 62M45 68T05 62H30 91-01 91G05 PDF BibTeX XML Cite \textit{M. Denuit} et al., Effective statistical learning methods for actuaries III. Neural networks and extensions. Cham: Springer (2019; Zbl 1426.62002) Full Text: DOI