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Hello,
Firstly i would like to thank you for sharing this implementation online.
I have one question about the definition of the stastistics in vardtc for uncertain inputs.
In the code it's written:
logL = -(output_dim*(num_data*log_2_pi+logL_R+psi0-np.trace(LmInvPsi2LmInvT))+YRY- bbt)/2.-output_dim*logdet_L/2.
My question is: shouldn't it be psi0= kern.psi0(Z, X)*beta or in the logL be psi0*beta ?? because in the logL psi0 should be scaled with beta
The text was updated successfully, but these errors were encountered:
Hello,
Firstly i would like to thank you for sharing this implementation online.
I have one question about the definition of the stastistics in vardtc for uncertain inputs.
In the code it's written:
Then in the computation of the likelihood:
logL = -(output_dim*(num_data*log_2_pi+logL_R+psi0-np.trace(LmInvPsi2LmInvT))+YRY- bbt)/2.-output_dim*logdet_L/2.
My question is: shouldn't it be
psi0= kern.psi0(Z, X)*beta
or in the logL bepsi0*beta
?? because in the logL psi0 should be scaled with betaThe text was updated successfully, but these errors were encountered: