en-zh
en
en-sl
en-de
en-es
en-fr
0.25
0.5
0.75
1.25
1.5
1.75
2
Slice sampling covariance hyperparameters of latent
Published on Feb 4, 20259854 Views
The Gaussian process (GP) is a popular way to specify dependencies between random variables in a probabilistic model. In the Bayesian framework the covariance structure can be specified using unknown