Actuarial applications of word embedding models
| Year of publication: |
2020
|
|---|---|
| Authors: | Lee, Gee ; Manski, Scott ; Maiti, Tapabrata |
| Published in: |
ASTIN bulletin : the journal of the International Actuarial Association. - Cambridge : Cambridge Univ. Press, ISSN 1783-1350, ZDB-ID 2148228-7. - Vol. 50.2020, 1, p. 1-24
|
| Subject: | Risk mitigation | insurance claims adjustment | word embedding | text mining | word2vec | GloVe | word similarity | generalized additive models | actuarial modeling | classification | logistic regression | loss modeling | Risikomodell | Risk model | Theorie | Theory | Versicherungsmathematik | Actuarial mathematics | Regressionsanalyse | Regression analysis |
-
Extracting information from textual descriptions for actuarial applications
Manski, Scott, (2021)
-
Diagnostic tests before modeling longitudinal actuarial data
Li, Yinhuan, (2023)
-
Insurance ratemaking using the Exponential-Lognormal regression model
Tzougas, George, (2020)
- More ...
-
Extracting information from textual descriptions for actuarial applications
Manski, Scott, (2021)
-
Treatment level and store level analyses of healthcare data
Wang, Kaiwen, (2019)
-
General insurance deductible ratemaking
Lee, Gee, (2017)
- More ...