The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms-Reference-Cited by-同舟云学术

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The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms

Published:2020-06-08 Issue:536 Volume:116 Page:2053-2064
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Gerber Guillaume¹,Faou Yohann Le²,Lopez Olivier³,Trupin Michael⁴

Affiliation:

1. Forsides, Paris, France

2. Forsides & Sorbonne Université, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, Paris, France

3. Sorbonne Université, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, Paris, France

4. Santiane, Paris, France

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1764364

Reference50 articles.

1. Nonparametric Inference for a Family of Counting Processes

2. Tree-Structured Proportional Hazards Regression Modeling

3. Beran, R. (1981), “Nonparametric Regression With Randomly Censored Survival Data,” Technical Report, Univ. California, Berkeley.

4. A random forest guided tour

5. A review of survival trees

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