deriv_2nd_ar1: Analytic second derivative matrix for AR(1) process

In schoi355/gmwm: Generalized Method of Wavelet Moments

Analytic second derivative matrix for AR(1) process

Description

Calculates the second derivative for the AR(1) process and places it into a matrix form. The matrix form in this case is for convenience of the calculation.

Usage

deriv_2nd_ar1(phi, sigma2, tau)

Arguments

phi	A double corresponding to the phi coefficient of an AR(1) process.
sigma2	A double corresponding to the error term of an AR(1) process.
tau	A vec containing the scales e.g. 2^tau

Value

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

Process Haar WV Second Derivative

Taking the second derivative with respect to phi yields:

d^2/dphi^2 nu[j]^2(phi, sigma2) = 2*sigma2*(4*(1 + 3*phi)*(1 + phi + phi^2)* (3 - 4*phi^(tau[j]/2) + phi^tau[j]) + (-1 + phi^2)* (3*(1 + phi)^2 + 2*phi^(tau[j]/2 - 1)*(1 + phi*(4 + 7*phi)) - phi^(tau[j] - 1)*(1 + phi*(4 + 7*phi)))* tau[j] + phi^(tau[j]/2 - 1)*(-1 + phi^2)^2*(-1 + phi^(tau[j]/2))*tau[j]^2)/((-1 + phi)^5*(1 + phi)^3*tau[j]^2)

Taking the second derivative with respect to sigma^2 yields:

d^2/dsigma2^2 nu[j]^2(phi, sigma2) = 0

Taking the derivative with respect to phi and sigma2 yields:

d/dsigma * d/dphi nu[j]^2(phi, sigma2) = (2*((-(3 - 4*phi^(tau[j]/2) + phi^tau[j]))*(1 + phi*(2 + 3*phi)) + (-1 + phi^2)*(-1 - phi - 2*phi^(tau[j]/2) + phi^tau[j])*tau[j]))/((-1 + phi)^4*(1 + phi)^2*tau[j]^2)

Author(s)

James Joseph Balamuta (JJB)

Examples

deriv_2nd_ar1(.3, 1, 2^(1:5))

schoi355/gmwm documentation built on April 11, 2022, 1:21 a.m.