mixtureWeight

<p>C++ function for computing mixture weights of Bernstein-Mixtures given the probabilities p, values w, and degree k.</p>

internal

Implementations of a Bayesian parametric (autoregressive), a Bayesian nonparametric (Whittle likelihood with Bernstein-Dirichlet prior) and a Bayesian semiparametric (autoregressive likelihood with Bernstein-Dirichlet correction) procedure are provided. The work is based on the corrected parametric likelihood by C. Kirch et al (2017) <arXiv:1701.04846>. It was supported by DFG grant KI 1443/3-1.

Alexander Meier

beyondWhittle

Bayesian Spectral Inference for Stationary Time Series

Claudia Kirch

Matthew C. Edwards

Renate Meyer

mixtureWeight function

C++ function for computing mixture weights of Bernstein-Mixtures given the probabilities p, values w, and degree k. — mixtureWeight

C++ function for computing mixture weights of Bernstein-Mixtures given the probabilities p, values w, and degree k.

mixtureWeight: C++ function for computing mixture weights of Bernstein-Mixtures given the probabilities p, values w, and degree k.

Description

Usage

Arguments