Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks

DOI10.1016/j.ijar.2021.10.008OpenAlexW3210702082MaRDI QIDQ2069065

Gabriella Piscopo, Andrea Nigri, Susanna Levantesi

Publication date: 20 January 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2021.10.008

zbMATH Keywords

life expectancymortality forecastingfunctional data clusteringLong-Short Term Memory for time series analysis

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

A Neural Approach to Improve the Lee-Carter Mortality Density Forecasts ⋮ Locally-coherent multi-population mortality modelling via neural networks

Uses Software

• fda (R)
• funHDDC
• MBCbook

Cites Work

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• Model-based clustering of time series in group-specific functional subspaces
• The double-gap life expectancy forecasting model
• Functional cluster analysis via orthonormalized Gaussian basis expansions and its application
• Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions
• A practical guide to splines
• Model-based clustering for multivariate functional data
• Clustering functional data
• Forecasting mortality in subpopulations using Lee-Carter type models: a comparison
• Functional data clustering: a survey
• Common mortality modeling and coherent forecasts. An empirical analysis of worldwide mortality data
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Unsupervised Curve Clustering using B‐Splines
• Clustering for Sparsely Sampled Functional Data
• A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST
• A COMPARATIVE STUDY OF TWO-POPULATION MODELS FOR THE ASSESSMENT OF BASIS RISK IN LONGEVITY HEDGES
• Neural Networks and Deep Learning
• Life expectancy and lifespan disparity forecasting: a long short-term memory approach
• Functional Clustering and Identifying Substructures of Longitudinal Data
• Learning representations by back-propagating errors
• Time Series Clustering and Classification
• Model-Based Clustering and Classification for Data Science

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