Assume that for i=1 to n, the ith measurement y i of the response y and the corresponding measurement x i of the vector x of p predictors are related by where g is ...

High-dimensional data analysis has been an active area, and the main focus areas have been variable selection and dimension reduction. In practice, it occurs often that the variables are located on an ...

BACKGROUND The application of geographically weighted regression (GWR) – a local spatial statistical technique used to test for spatial nonstationarity – has grown rapidly in the social, health, and ...

Loess smoothing is a curve-fitting technique based on local regression (Cleveland 1993). To fit a loess curve to the mining data, follow these steps: Choose Curves:Loess to display the loess fit ...

Geographically weighted regression (GWR) is a spatial statistical technique that extends conventional regression analysis by allowing relationships between variables to vary across space. Instead of ...