periodic_gauss_funct

This function computes the values of periodic folding of the Gaussian correlation function (i.e. the power expoential correlation with roughness parameter being 2).

internal

Robust parameter estimation and prediction of Gaussian stochastic
process emulators. It allows for robust parameter estimation and prediction using
Gaussian stochastic process emulator. It also implements the parallel partial
Gaussian stochastic process emulator for computer model with massive outputs
See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics;
Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.

Mengyang Gu

RobustGaSP

Robust Gaussian Stochastic Process Emulation

Jesus Palomo

James Berger

periodic_gauss_funct function

<dl> <dt>d</dt>
<dd>
locations the periodic Gaussian correlation function are to be evaluated.</dd> <dt>beta_i</dt>
<dd>
the inverse range parameter.</dd></dl>

Arguments

tools:::Rd_package_author("RobustGaSP")
Maintainer: tools:::Rd_package_maintainer("RobustGaSP")

Author


Periodic folding of the Gaussian correlation function . — periodic_gauss_funct

<dl>

 <dt>d</dt>
<dd>
locations the periodic Gaussian correlation function are to be evaluated.</dd>

 <dt>beta_i</dt>
<dd>
the inverse range parameter.</dd>

</dl>

periodic_gauss_funct: Periodic folding of the Gaussian correlation function .

Description

Usage

Value

Arguments

Author