The fitting of parameter-constrained demographic models
The fitting of parameter-constrained demographic models
It is common to have knowledge about the unknown parameters of a demographic model which restricts the values of the parameters. With such knowledge, it is reasonable to require that our parameter estimates satisfy the parameter constraints and one should use a constrained estimation procedure. We briefly review existing approaches to fitting parameter-constrained models. We describe a Bayesian approach for the fitting of parameter-constrained demographic models, which is the main focus of the paper. We illustrate the Bayesian approach by fitting a parameter-constrained proportional hazards model based on current-status data and a parameter-constrained log-linear regression model for standardized mortality ratios.
79-88
McDonald, J.W.
9adae16e-e1e1-4ddf-bf4c-7231ee8c1c8e
Prevost, A.T.
39b6fa45-2d60-408e-b830-e1626b7bcb82
1997
McDonald, J.W.
9adae16e-e1e1-4ddf-bf4c-7231ee8c1c8e
Prevost, A.T.
39b6fa45-2d60-408e-b830-e1626b7bcb82
McDonald, J.W. and Prevost, A.T.
(1997)
The fitting of parameter-constrained demographic models.
Mathematical and Computer Modelling, 26 (6), .
(doi:10.1016/S0895-7177(97)00171-4).
Abstract
It is common to have knowledge about the unknown parameters of a demographic model which restricts the values of the parameters. With such knowledge, it is reasonable to require that our parameter estimates satisfy the parameter constraints and one should use a constrained estimation procedure. We briefly review existing approaches to fitting parameter-constrained models. We describe a Bayesian approach for the fitting of parameter-constrained demographic models, which is the main focus of the paper. We illustrate the Bayesian approach by fitting a parameter-constrained proportional hazards model based on current-status data and a parameter-constrained log-linear regression model for standardized mortality ratios.
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Published date: 1997
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Local EPrints ID: 34314
URI: http://eprints.soton.ac.uk/id/eprint/34314
ISSN: 0895-7177
PURE UUID: 634ca190-6d3a-408b-bd7f-028a8b6e4262
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Date deposited: 15 Jan 2008
Last modified: 15 Mar 2024 07:47
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Author:
J.W. McDonald
Author:
A.T. Prevost
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