3 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 2 cited
A Generalized Spatial Correlated Mean Component Model: Theory and Application to U.S. County Voting Data
N. A. Cruz, J. D. Toloza-Delgado, O. O. Melo
This paper introduces the generalized spatial correlated inverse mean component (GSCIMC), a flexible and computationally efficient framework for modeling spatial dependence in non-…
stat.ME2024★ 3 cited
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices
J. D. Toloza-Delgado, O. O. Melo, N. A. Cruz
In the context of spatial econometrics, it is very useful to have methodologies that allow modeling the spatial dependence of the observed variables and obtaining more precise pred…