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Stochastic models are appealing for mortality forecasting in their ability to generate intervals that quantify uncertainties underlying the forecasts. We present a fully Bayesian implementation of the age-period-cohort-improvement (APCI) model with o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc8ab87a81950dffb0ae3c1442bb4222
https://eprints.soton.ac.uk/476901/
https://eprints.soton.ac.uk/476901/