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.ML2025
Median Consensus Embedding for Dimensionality Reduction
Yui Tomo, Daisuke Yoneoka
This study proposes median consensus embedding (MCE) to address variability in low-dimensional embeddings caused by random initialization in nonlinear dimensionality reduction tech…