Mixing
Gaussian process with kernel to estimate noise across different regions
Constructing a sum kernel from an RBF and a white-noise kernel is flexible and will allow for estimating the overall noise level in a dataset.
Is it possible do something more local and estimate different noise-levels at different regions of the independent variable space?
statistics statistical-inference empirical-processes
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
add a comment |
Constructing a sum kernel from an RBF and a white-noise kernel is flexible and will allow for estimating the overall noise level in a dataset.
Is it possible do something more local and estimate different noise-levels at different regions of the independent variable space?
statistics statistical-inference empirical-processes
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
add a comment |
Constructing a sum kernel from an RBF and a white-noise kernel is flexible and will allow for estimating the overall noise level in a dataset.
Is it possible do something more local and estimate different noise-levels at different regions of the independent variable space?
statistics statistical-inference empirical-processes
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
Constructing a sum kernel from an RBF and a white-noise kernel is flexible and will allow for estimating the overall noise level in a dataset.
Is it possible do something more local and estimate different noise-levels at different regions of the independent variable space?
statistics statistical-inference empirical-processes
statistics statistical-inference empirical-processes
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
asked Nov 20 '18 at 21:17
jjjjjj
1,100515
1,100515
add a comment |
add a comment |
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