stk-kriging/stk
The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.
MATLABGPL-3.0
Issues
- 3
- 3
- 8
Missing DESCRIPTION file
#37 opened by Schamschula - 4
Could not run some of the STK functions
#21 opened by bkaangorur - 0
Handle other formatting modes in stk_sprintf
#19 opened by jbect - 0
- 0
Handle duplicated points in stk_predict (noisy case)
#17 opened by jbect - 0
Sampcrit class + example script for EMMI criterion
#16 opened by jbect - 0
Sampcrit class + example script for EHVI criterion
#15 opened by jbect - 0
- 0
H-matrices
#13 opened by jbect - 0
New functions to manipulate designs of experiments
#12 opened by jbect - 0
- 0
Class hierarchy for sampling criteria
#10 opened by jbect - 0
- 0
Heteroscedastic noise support
#8 opened by jbect - 1
Failing tests related to fminsearch
#7 opened by jbect - 0
- 1
Implement fast model updates
#1 opened by jbect - 0
- 0
Support for complex-valued GPs
#4 opened by jbect