Hetero-GPR with additional known vector-inputs #1779
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paponpat503
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Dear GPflow team
I am working on Hetero-GP-Regression but I am interested in modelling as follow
y t = f ( x 1 , t ) + A x ^ + ϵ t
where the likelihood contain the latent gassian process function itself, and additional already known vector-of widehat x. Here A = 1. Do you think it is possible to manipulate likelihood function in order to approximate this?
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