Model-based and nonparametric approaches to clustering for data compression in actuarial applications
Year of publication: |
2017
|
---|---|
Authors: | O'Hagan, Adrian ; Ferrari, Colm |
Published in: |
North American actuarial journal. - Philadelphia, Pa. : Taylor & Francis, ISSN 1092-0277, ZDB-ID 1380138-7. - Vol. 21.2017, 1, p. 107-146
|
Subject: | Nichtparametrisches Verfahren | Nonparametric statistics | Clusteranalyse | Cluster analysis | Theorie | Theory |
-
Dynamic nonparametric clustering of multivariate panel data
João, Igor Custodio, (2023)
-
Credit scoring model : applications of Copula theory and quantile regression
Wu, Po-chin, (2013)
-
The composite marginal likelihood (CML) inference approach
Bhat, Chandra R., (2014)
- More ...
-
Actuarial risk matrices : the nearest positive semidefinite matrix problem
Cutajar, Stefan, (2017)
-
A spatial machine learning model for analysing customers' lapse behaviour in life insurance
Hu, Sen, (2021)
-
mvClaim : an R package for multivariate general insurance claims severity modelling
Hu, Sen, (2021)
- More ...