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deriv_ma1

Analytic D matrix for MA(1) process


Description

Obtain the first derivative of the MA(1) process.

Usage

deriv_ma1(theta, sigma2, tau)

Arguments

theta

A double corresponding to the theta coefficient of an MA(1) process.

sigma2

A double corresponding to the error term of an MA(1) process.

tau

A vec containing the scales e.g. 2^tau

Value

A matrix with the first column containing the partial derivative with respect to theta and the second column contains the partial derivative with respect to sigma^2

Process Haar WV First Derivative

Taking the derivative with respect to theta yields:

d/dtheta v[j]^2 (theta, sigma2) = (sigma2*(2*(theta+1)*tau[j]-6))/(tau[j]^2)

Taking the derivative with respect to sigma^2 yields:

d/dsigma2 v[j]^2 (theta, sigma2) = ((theta+1)^2*tau[j]-6*theta)/(tau[j]^2)

Author(s)

James Joseph Balamuta (JJB)


simts

Time Series Analysis Tools

v0.1.1
AGPL-3 | file LICENSE
Authors
Stéphane Guerrier [aut, cre, cph], James Balamuta [aut, cph], Roberto Molinari [aut, cph], Justin Lee [aut], Yuming Zhang [aut], Wenchao Yang [ctb], Nathanael Claussen [ctb], Yunxiang Zhang [ctb], Christian Gunning [cph], Romain Francois [cph], Ross Ihaka [cph], R Core Team [cph]
Initial release
2019-07-21

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