3 papers
stat.ML2024
A Confidence Interval for the Expected Calibration Error
Yan Sun, Pratik Chaudhari, Ian J. Barnett +1
Recent advances in machine learning have significantly improved prediction accuracy in various applications. However, ensuring the calibration of probabilistic predictions remains…
cs.GT2023
Entropy-Based Strategies for Multi-Bracket Pools
Ryan S. Brill, Abraham J. Wyner, Ian J. Barnett
Much work in the parimutuel betting literature has discussed estimating event outcome probabilities or developing optimal wagering strategies, particularly for horse race betting.…
stat.ME2022
Analysis of block slice samplers for Bayesian GLMMs and GAMs with linear inequality and shape constraints
Benny Ren, Jeffrey Morris, Ian Barnett
Exponential family models, generalized linear models (GLMs), generalized linear mixed models (GLMMs) and generalized additive models (GAMs) are widely used methods in statistics. H…