3 papers
stat.ME2026
Covariate balancing estimation and model selection for difference-in-differences approach
Takamichi Baba, Yoshiyuki Ninomiya
Remarkable progress has been made in difference-in-differences (DID) approaches to causal inference that estimate the average effect of a treatment on the treated (ATT). Of these,…
stat.ME2025
Developing an information criterion for spatial data analysis through Bayesian generalized fused lasso
Yuko Kakikawa, Yoshiyuki Ninomiya
In the field of spatial data analysis, spatially varying coefficients (SVC) models, which allow regression coefficients to vary by region and flexibly capture spatial heterogeneity…
stat.ME2025
Akaike information criterion for segmented regression models
Kazuki Nakajima, Yoshiyuki Ninomiya
In segmented regression, when the regression function is continuous at the change-points that are the boundaries of the segments, it is also called joinpoint regression, and the an…