Lastly, for the models regressing to a NIG distribution (µ,ν,α,β), we trained utilizing the loss defined by Soleimany et al. : a linear combination of the negative log-likelihood of the true label (y) being in the predicted distribution and the absolute error of the predicted and true labels as shown in Equation .