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Effective statistical learning metho...

Denuit, M.

Effective statistical learning methods for actuaries II :tree-based methods and extensions /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Effective statistical learning methods for actuaries II :Michel Denuit, Donatien Hainaut, Julien Trufin.
其他題名:	tree-based methods and extensions /
作者:	Denuit, M.
其他作者:	Hainaut, Donatien.
出版者:	Cham, Switzerland :Springer,c2020.
面頁冊數:	x, 228 p. :ill. ;24 cm.
標題:	Actuarial science.
ISBN:	9783030575557 (pbk.) :

Effective statistical learning methods for actuaries II :tree-based methods and extensions /
Denuit, M.

Effective statistical learning methods for actuaries II :tree-based methods and extensions /Michel Denuit, Donatien Hainaut, Julien Trufin. - Cham, Switzerland :Springer,c2020. - x, 228 p. :ill. ;24 cm. - Springer actuarial lecture notes. - Springer actuarial lecture notes.

Includes bibliographical references.

Introduction -- Performance evaluation -- Regression trees -- Bagging trees and random forests -- Boosting trees -- Other measures for model comparison.

ISBN: 9783030575557 (pbk.) :NT$1340Subjects--Topical Terms:

603592
Actuarial science.

LC Class. No.: HG8781 / .D46 2020

Effective statistical learning methods for actuaries II :tree-based methods and extensions /
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020 $a 3030575551 (pbk.)
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100 1 $a Denuit, M. $q (Michel). $3 436621
245 1 0 $a Effective statistical learning methods for actuaries II : $b tree-based methods and extensions / $c Michel Denuit, Donatien Hainaut, Julien Trufin.
260 $a Cham, Switzerland : $b Springer, $c c2020.
300 $a x, 228 p. : $b ill. ; $c 24 cm.
490 1 $a Springer actuarial lecture notes
504 $a Includes bibliographical references.
505 0 $a Introduction -- Performance evaluation -- Regression trees -- Bagging trees and random forests -- Boosting trees -- Other measures for model comparison.
650 0 $a Actuarial science. $3 603592
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Statistics. $3 182057
700 1 $a Hainaut, Donatien. $3 853875
700 1 $a Trufin, Julien. $3 853876
830 0 $a Springer actuarial lecture notes $3 885215