Subsampling-extrapolation bandwidth selection in bivariate kernel density estimation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1597099
Abstract: ABSTRACT This paper focuses on bivariate kernel density estimation that bridges the gap between univariate and multivariate applications. We propose a subsampling-extrapolation bandwidth matrix selector that improves the reliability of the conventional cross-validation method. The… read more here.
Keywords: kernel density; density estimation; extrapolation; bandwidth matrix ... See more keywords
Selection of the Bandwidth Matrix in Spatial Varying Coefficient Models to Detect Anisotropic Regression Relationships
Sign Up to like & getrecommendations! Published in 2021 at "Mathematics"
DOI: 10.3390/math9182343
Abstract: The commonly used Geographically Weighted Regression (GWR) fitting method for a spatial varying coefficient model is to select a bandwidth h for the geographic location (u, v), and assign the same weight to the two… read more here.
Keywords: regression; bandwidth matrix; varying coefficient; spatial varying ... See more keywords