2 papers
stat.ME2026
Zero-Inflated Logistic Regression Models with Shared Design: Identifiability, Existence of Estimates, and a Relabeling Rule
Yui Tomo, Shinto Eguchi, Daisuke Yoneoka
The zero-inflated logistic regression model accommodates binary responses with excess zeros, which often arise from a latent mixture of susceptible and insusceptible subpopulations…
stat.ME2025
On a class of binary regression models and their robust estimation
Kenichi Hayashi, Shinto Eguchi
A robust estimation framework for binary regression models is studied, aiming to extend traditional approaches like logistic regression models. While previous studies largely focus…