coarsened_bernstein

Construct coarsened Bernstein polynomial basis of degree l on omega

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) <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

coarsened_bernstein function

<dl><dt>omega</dt>
<dd>numeric vector in [0,1] of evaluation points</dd>
<dt>l</dt>
<dd>positive integer for the degree</dd></dl>

Arguments

Construct coarsened Bernstein polynomial basis of degree l on omega — coarsened_bernstein

<dl>

<dt>omega</dt>
<dd>numeric vector in [0,1] of evaluation points</dd>


<dt>l</dt>
<dd>positive integer for the degree</dd>

</dl>

coarsened_bernstein: Construct coarsened Bernstein polynomial basis of degree l on omega

Description

Usage

Arguments

Details