Multistate health transition modeling using neural networks-Reference-Cited by-同舟云学术

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Multistate health transition modeling using neural networks

Published:2021-10-05 Issue: Volume: Page:
ISSN:0022-4367
Container-title:Journal of Risk and Insurance
language:en
Short-container-title:J Risk Insur

Author:

Wang Qiqi¹²,Hanewald Katja²³^ORCID,Wang Xiaojun¹⁴

Affiliation:

1. School of Statistics Renmin University of China Beijing China

2. Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR) Sydney NSW Australia

3. School of Risk & Actuarial Studies UNSW Sydney Sydney NSW Australia

4. Center for Applied statistics Renmin University of China China

Funder

Ministry of Education of the People's Republic of China

Publisher

Wiley

Subject

Economics and Econometrics,Finance,Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jori.12364

Reference63 articles.

1. Frailty, Sickness, and Death: Models of Morbidity and Mortality in Historical Populations

2. CONTINUOUS-TIME SEMI-MARKOV INFERENCE OF BIOMETRIC LAWS ASSOCIATED WITH A LONG-TERM CARE INSURANCE PORTFOLIO

3. Boisclair D. Décarie Y. Laliberté‐Auger F. &Michaud P. C.(2019).COMPAS: A health microsimulation model for Quebec and Canada. Technical document Chaire de recherche sur les enjeux économiques intergénérationnels Montréal.

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