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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Publication information
Department/Agency Bank of Canada.
Title Analytical derivatives for Markov switching models / by Jeff Gable, Simon van Norden and Robert Vigfusson.
Series title Bank of Canada working paper1701-939795-7
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Other formats Paper-[English]
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.
Publishing information Ottawa - Ontario : Bank of Canada August 1995.
Description 33p.graph, references, tables
ISSN 1701-9397
Catalogue number
  • FB3-2/95-7E-PDF
Subject terms Rates
Currency
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