Bayesian analysis of mortality data

Congdon argued that the use of parametric modelling of mortality data is necessary in many practical demographical problems. In this paper, we focus on a form of model introduced by Heligman and Pollard in 1980, and we adopt a Bayesian analysis, using Markov chain Monte Carlo simulation, to produce...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series A, Statistics in society Statistics in society, 2001, Vol.164 (2), p.275-291
Hauptverfasser:	Dellaportas, Petros, Smith, Adrian F. M., Stavropoulos, Photis
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Bayesian inference Bayesian method Data analysis Death Decision theory Demography Econometrics Exact sciences and technology Incomplete life-table Inference from stochastic processes time series analysis Life tables Logistics Markov chain Monte Carlo methods Markov chains Mathematics Metropolitan areas Modeling Monte Carlo simulation Mortality Mortality data Multivariate analysis Musical intervals Parametric inference Parametric models Probability and statistics Sciences and techniques of general use Statistics
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