Functional-coefficient spatial autoregressive models with nonparametric spatial weights

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Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models (2017, unknown): “Dispensing with this assumption requires either making an alternative assumption of strong spatial mixing along with spatial stationarity or modeling spatial weights as nonparametric functions of the distance between neighbors (see Sun, 2016, and the references therein).”
Estimation and Selection of Spatial Weight Matrix in a Spatial Lag Model (2019, background): “Pinkse, Slade, and Brett (2002) and Sun (2016) considered estimating a nonparametric function of some underlying “distance” variables for the spatial weight matrix parameters, which inherently assumes some form of smoothness in the function itself.”