i refer to the paper 'Discover-CBC: How and why it differs from SSI Web´s CBC Software'.

In that paper you write about the Utility Estimation in Discover-CBC.

Discover uses a 'maximum likelihood estimation via individual level logit with Bayesian smoothing toward population parameters via Empirical Bayes'.

Is it right that Discover first computes the maximum likelihood for a Multinomial Logit Model (for each individual) or is a individual level logit something else? And how is Empirical Bayes linked to that first step?

Do you have a more detailed description with equations for that whole computations?

For my master´s thesis i have to describe the way the utilities are estimated very detailed and mathematically.

So i would be so thankful if you could give me more detailed information.

Best,

Elena