Determining Convergence Criteria for Bradley-Terry Model about openskill.py HOT 2 OPEN

There is no model fitting on data here like in traditional statistical or machine learning problems. As such there is also no convergence criteria to be met either. The model implemented here uses an approximation of a generalized Bradley-Terry model with variance parameters. As such the rules are analytic, finite and closed form.

For more details, see this paper.

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My knowledge in this area is rudimentary hence the ask. DOTA uses Glicko model but has a confidence score as well. So I was just wondering if there is a way to determine it using these models too? Otherwise, I was thinking of assessing it by looking at the variance parameter squeezing down to a certain value or rate of change in the ordinal value.

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