Blog

Blog about statistics related things.

Hierarchical Bayesian Multinomial Models for Partial Pooling

Consider the problem of finding the best player or deck in a game based on match outcomes. A naive approach is to rank by their win rates, without taking anything else…

Metrics for comparing models

In machine learning and deep learning for classification, models are often evaluated based on metrics such as accuracy, F1-score, and others. This is for example done at pape…