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Stochastic population forecasts based on conditional expert opinions

The paper develops and applies an expert-based stochastic population forecasting method, which can also be used to obtain a probabilistic version of scenario-based official forecasts. The full probability distribution of population forecasts is specified by starting from expert opinions on the futur...

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Detalles Bibliográficos
Autores principales: Billari, F C, Graziani, R, Melilli, E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412228/
https://www.ncbi.nlm.nih.gov/pubmed/22879704
http://dx.doi.org/10.1111/j.1467-985X.2011.01015.x
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author Billari, F C
Graziani, R
Melilli, E
author_facet Billari, F C
Graziani, R
Melilli, E
author_sort Billari, F C
collection PubMed
description The paper develops and applies an expert-based stochastic population forecasting method, which can also be used to obtain a probabilistic version of scenario-based official forecasts. The full probability distribution of population forecasts is specified by starting from expert opinions on the future development of demographic components. Expert opinions are elicited as conditional on the realization of scenarios, in a two-step (or multiple-step) fashion. The method is applied to develop a stochastic forecast for the Italian population, starting from official scenarios from the Italian National Statistical Office.
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spelling pubmed-34122282012-08-07 Stochastic population forecasts based on conditional expert opinions Billari, F C Graziani, R Melilli, E J R Stat Soc Ser A Stat Soc Original Articles The paper develops and applies an expert-based stochastic population forecasting method, which can also be used to obtain a probabilistic version of scenario-based official forecasts. The full probability distribution of population forecasts is specified by starting from expert opinions on the future development of demographic components. Expert opinions are elicited as conditional on the realization of scenarios, in a two-step (or multiple-step) fashion. The method is applied to develop a stochastic forecast for the Italian population, starting from official scenarios from the Italian National Statistical Office. Blackwell Publishing Ltd 2012-04 /pmc/articles/PMC3412228/ /pubmed/22879704 http://dx.doi.org/10.1111/j.1467-985X.2011.01015.x Text en © 2011 Royal Statistical Society http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Articles
Billari, F C
Graziani, R
Melilli, E
Stochastic population forecasts based on conditional expert opinions
title Stochastic population forecasts based on conditional expert opinions
title_full Stochastic population forecasts based on conditional expert opinions
title_fullStr Stochastic population forecasts based on conditional expert opinions
title_full_unstemmed Stochastic population forecasts based on conditional expert opinions
title_short Stochastic population forecasts based on conditional expert opinions
title_sort stochastic population forecasts based on conditional expert opinions
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412228/
https://www.ncbi.nlm.nih.gov/pubmed/22879704
http://dx.doi.org/10.1111/j.1467-985X.2011.01015.x
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