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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:
if uncertain_inputs:
psi0 = kern.psi0(Z, X)
psi1 = kern.psi1(Z, X)*beta
psi2 = kern.psi2(Z, X)*beta
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 be psi0*beta ?? because in the logL psi0 should be scaled with beta
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