Analytical derivatives for Markov switching models / by Jeff Gable, Simon van Norden and Robert Vigfusson.  : FB3-2/95-7E-PDF

This paper derives analytical gradients for a broad class of regime-switching models with Markovian state-transition probabilities. Such models are usually estimated by maximum likelihood methods, which require the derivatives of the likelihood function with respect to the parameter vector. These gradients are usually calculated by means of numerical techniques. The paper shows that analytical gradients considerably speed up maximum-likelihood estimation with no loss in accuracy. A sample program listing is included.--Abstract

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publications.gc.ca/pub?id=9.571638&sl=1

Renseignements sur la publication
Ministère/Organisme Bank of Canada.
Titre Analytical derivatives for Markov switching models / by Jeff Gable, Simon van Norden and Robert Vigfusson.
Titre de la série Bank of Canada working paper1701-939795-7
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Autres formats offerts Papier-[Anglais]
Note(s) "This paper derives analytical gradients for a broad class of regime-switching models with Markovian state-transition probabilities. Such models are usually estimated by maximum likelihood methods, which require the derivatives of the likelihood function with respect to the parameter vector. These gradients are usually calculated by means of numerical techniques. The paper shows that analytical gradients considerably speed up maximum-likelihood estimation with no loss in accuracy. A sample program listing is included."--Abstract.
The ISBN (0-662-23685-8) and ISSN (1192-5434) for the print edition have been incorrectly copied in this electronic publication.
Résumé en français.
Information sur la publication Ottawa - Ontario : Bank of Canada August 1995.
Description 33p.graph, references, tables
ISSN 1701-9397
Numéro de catalogue
  • FB3-2/95-7E-PDF
Descripteurs Rates
Currency
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