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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2012
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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. |
format | Online Article Text |
id | pubmed-3412228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT billarifc stochasticpopulationforecastsbasedonconditionalexpertopinions AT grazianir stochasticpopulationforecastsbasedonconditionalexpertopinions AT melillie stochasticpopulationforecastsbasedonconditionalexpertopinions |