Stationary covariance function.
● Data Source:
CranContrib
● Keywords:
● Alias: cov.pow.ex
●
1 images
|
|
Component of the distance to build a stationary kernel function or similar.
● Data Source:
CranContrib
● Keywords:
● Alias: xixj_sta
●
0 images
|
gpfrpred
(Package: GPFDA) :
Prediction of the Gaussian Process using functional regression
Predict the new points in Gaussian Process using the training results
● Data Source:
CranContrib
● Keywords:
● Alias: gpfrpred
●
0 images
|
|
Easy setting up for create a fdPar object.
● Data Source:
CranContrib
● Keywords:
● Alias: betaPar
●
0 images
|
|
Use functional regression to be the mean structure and Gaussian Process to be the covariance structure.
● Data Source:
CranContrib
● Keywords:
● Alias: gpfr
●
0 images
|
|
uses functional regression to be the mean function, and the Gaussian Process to be the covariance structure.
● Data Source:
CranContrib
● Keywords: functional, Gaussian Process
● Alias: GPFDA, GPFDA-package
●
0 images
|
|
Computer the second derivative of the likelihood function with respect to one of the hyper-parameters, with first and second derivative of the kernel function given.
● Data Source:
CranContrib
● Keywords:
● Alias: D2
●
0 images
|
|
Easy setting up for creating an fd object
● Data Source:
CranContrib
● Keywords:
● Alias: mat2fd
●
0 images
|
gppredict
(Package: GPFDA) :
Prediction of the Gaussian Process
Predict the new points in Gaussian Process using the training results or manual input
● Data Source:
CranContrib
● Keywords:
● Alias: gppredict
●
0 images
|
|
Plot Gaussian Process training or predicting only for 'gpr' class object.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.gpr
●
0 images
|
providing 
.