| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Machine learning applications in non‐life insurance : discussion rejoinder |
| Authors: | Grize, Yves-Laurent Fischer, Wolfram Lützelschwab, Christian |
| et. al: | No |
| DOI: | 10.1002/asmb.2564 |
| Published in: | Applied Stochastic Models in Business and Industry |
| Volume(Issue): | 36 |
| Issue: | 4 |
| Page(s): | 545 |
| Pages to: | 547 |
| Issue Date: | 2020 |
| Publisher / Ed. Institution: | Wiley |
| ISSN: | 1524-1904 1526-4025 |
| Language: | English |
| Subject (DDC): | 004: Computer science 332.38: Insurances |
| Abstract: | We are much grateful to the editors for having organized a discussion of our paper. Our thanks also go to our distinguished discussants for their insightful contributions and the provided additional references. In our rejoinder, we first discuss the topic of interpretability, then briefly review the applications of machine learning (ML) to non-life insurance, and finally select a few stimulating remarks made by the discussants for further comments. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/20551 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Data Analysis and Process Design (IDP) |
| Appears in collections: | Publikationen School of Engineering |
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