Spatially Heterogeneous Additive Model (SHAM): A semiparametric framework for modeling simultaneously spatially varying processes and nonlinear relationships

Smooth backfitting in generalized additive models

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Efficient and fast spline-backfitted kernel smoothing of additive models

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Spline-backfitted kernel smoothing of nonlinear additive autoregression model

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Functional-coefficient spatial autoregressive models with nonparametric spatial weights

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Simultaneous hypothesis testing of multivariable nonparametric spline regression in the GWR model

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Are we modelling spatially varying processes or non-linear relationships?

10.1111/gean.12297 · doi-reference

Asymptotic properties of backfitting estimators

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Smooth backfitting in practice

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Kernel estimation of partial means and a general variance estimator

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A Moran coefficient–based mixed effects approach to investigate spatially varying relationships

10.1016/j.spasta.2016.12.001 · doi-reference

Balancing spatial and non-spatial variation in varying coefficient modeling: a remedy for spurious correlation

10.1111/gean.12310 · doi-reference

A bootstrap test for constant coefficients in geographically weighted regression models

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The existence and asymptotic properties of a backfitting projection algorithm under weak conditions

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Spline-backfitted kernel smoothing of partially linear additive model

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Spline-backfitted kernel smoothing of additive coefficient model

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A kernel method of estimating structured nonparametric regression based on marginal integration

10.1093/biomet/82.1.93 · doi-reference

10.1080/01621459.2018.1529595

10.1080/01621459.2018.1529595 · doi-reference

Statistical tests for spatial nonstationarity based on the geographically weighted regression model

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SGWR: similarity and geographically weighted regression

10.1080/13658816.2024.2342319 · doi-reference

Estimation curve of mixed spline truncated and Fourier series estimator for geographically weighted nonparametric regression

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Varying-coefficient models (with discussion)

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Introducing bootstrap methods to investigate coefficient non-stationarity in spatial regression models

10.1016/j.spasta.2017.07.006 · doi-reference

The SLX model

10.1111/jors.12188 · doi-reference

The validity and usefulness of laws in geographic information science and geography

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On the Harrison and rubinfeld data

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Spatial modeling with spatially varying coefficient processes

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Encapsulating spatially varying relationships with a generalized additive model

10.3390/ijgi13120459 · doi-reference

Generating models by the expansion method: applications to geographic research

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Functional-coefficient regression models for nonlinear time series

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Geographically weighted regression: a method for exploring spatial nonstationarity

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Endogenous spatial regimes

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