Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee–Carter Model

The Lee–Carter model could be considered as one of the most important mortality prediction models among stochastic models in the field of mortality. With the recent developments of machine learning and deep learning, many studies have applied deep learning approaches to time series mortality rate pr...

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Autores principales:	Yuan Chen, Abdul Q. M. Khaliq
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-11-01
Colección:	Big Data and Cognitive Computing
Materias:	mortality prediction Lee–Carter model long short-term memory bidirectional LSTM gated recurrent unit
Acceso en línea:	https://www.mdpi.com/2504-2289/6/4/134
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