2 papers
stat.ME2024
Bayesian Geographically Weighted Regression using Fused Lasso Prior
Toshiki Sakai, Jun Tsuchida, Hiroshi Yadohisa
A main purpose of spatial data analysis is to predict the objective variable for the unobserved locations. Although Geographically Weighted Regression (GWR) is often used for this…
stat.ME2024
Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects
Takehiro Shoji, Jun Tsuchida, Hiroshi Yadohisa
When using the propensity score method to estimate the treatment effects, it is important to select the covariates to be included in the propensity score model. The inclusion of co…