2 papers
math.ST2026
Beyond Modern Asymptotics for Log-Likelihood Ratios in Logistic Regression
Hugo Chardon, Reese Pathak, Nikita Zhivotovskiy
We characterize the finite sample behavior of the log-likelihood ratio statistic in binary logistic regression, uniformly over both the design and the target parameter. For $n\geq…
math.ST2026
Finite-sample performance of the maximum likelihood estimator in logistic regression
Hugo Chardon, Matthieu Lerasle, Jaouad Mourtada
Logistic regression is a classical model for describing the probabilistic dependence of binary responses to multivariate covariates. We consider the predictive performance of the m…