getHessian.Nmdl

This function is used to obtain a numerical approximation of a Hessian matrix for a normally distributed model.

internal

Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2024) <https://grodriguezrondon.com/files/RodriguezRondon_Dufour_2024_MonteCarlo_LikelihoodRatioTest_MarkovSwitchingModels_20241015.pdf> that can be used to identify the number of regimes in Markov switching models.

Gabriel Rodriguez Rondon

MSTest

Hypothesis Testing for Markov Switching Models

Jean-Marie Dufour

getHessian.Nmdl function

<dl><dt>mdl</dt>
<dd>List with model properties.</dd></dl>

Arguments

Hessian matrix of normal model — getHessian.Nmdl

<dl>

<dt>mdl</dt>
<dd>List with model properties.</dd>

</dl>

getHessian.Nmdl: Hessian matrix of normal model

Description

Usage

Value

Arguments