A Multivariate Claim Count Model for Applications in Insurance
This monograph presents a time-dynamic model for multivariate claim counts in actuarial applications. Inspired by real-world claim arrivals, the model balances interesting stylized facts (such as dependence across the components, over-dispersion and the clustering of claims) with a high level of mat...
| Main Authors: | Selch, Daniela Anna (Author, http://id.loc.gov/vocabulary/relators/aut), Scherer, Matthias (http://id.loc.gov/vocabulary/relators/aut) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
| Edition: | 1st ed. 2018. |
| Series: | Springer Actuarial,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Effective Statistical Learning Methods for Actuaries I GLMs and Extensions /
by: Denuit, Michel, et al.
Published: (2019) -
Actuarial Aspects of Long Term Care
Published: (2019) -
Solvency II in the Insurance Industry Application of a Non-Life Data Model /
Published: (2018) -
Effective Statistical Learning Methods for Actuaries III Neural Networks and Extensions /
by: Denuit, Michel, et al.
Published: (2019) -
An Introduction to Optimal Control of FBSDE with Incomplete Information
by: Wang, Guangchen, et al.
Published: (2018)