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Frequentist statistics

topic1 events
papersSEP 10 04:00 UTC

arXiv paper offers unifying perspective on probabilities as model predictions

A new cs.LG preprint tackles the long-standing philosophical divide between Bayesian and frequentist interpretations of probability. The authors propose framing probabilities as predictions generated by models, aiming to reconcile competing viewpoints. The work also examines under what conditions acting on probabilistic claims produces desirable outcomes.

machine-learning/statistics/theory/bayesian