sldmvnorm

<p>sum of multivariate normal log densities
with mean 0 and covariance Sigma, unnormalized</p>

internal

Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126>, A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470> and Y. Tang et al (2023) <doi:10.48550/arXiv.2303.11561>. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.

Renate Meyer

beyondWhittle

Bayesian Spectral Inference for Time Series

Alexander Meier

Claudia Kirch

Matthew C. Edwards

Yifu Tang

sldmvnorm function

sum of multivariate normal log densities
with mean 0 and covariance Sigma, unnormalized — sldmvnorm

sum of multivariate normal log densities
with mean 0 and covariance Sigma, unnormalized

sldmvnorm: sum of multivariate normal log densities with mean 0 and covariance Sigma, unnormalized

Description

Usage

Arguments