A <code>double</code> value for the variance, $sigma^2$, of a WN process.

sigma2


Sets up the necessary backend for the WN process.


Generalized Method of Wavelet Moments (GMWM) is an estimation
technique for the parameters of time series models. It uses the wavelet variance
in a moment matching approach that makes it particularly suitable for the
estimation of certain state-space models. Furthermore, there exists a robust
implementation of GMWM, which allows the robust estimation of some state-space
models and ARIMA models. Lastly, the package provides the ability to quickly
generate time series data, perform different wavelet decompositions, and
visualizations.

WN: Create an White Noise (WN) Process

Description

Usage

Arguments

Value

Examples