Non‐parametric Regression for Circular Responses

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Nonparametric Regression for Spherical Data (2014, methodology): “For d = q = 2, the smoother arctan(m̂2/m̂1), which estimates dependence between two angles, can be compared with the circular-circular regression smoother of Di Marzio et al. (2013). Their approach is simpler for working in only one dimension, additionally it does not exhibit singularity issues and ”
Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms (2015, unknown): “The kernel function for D is chosen to be the von Mises kernel (Taylor 2008), because it is a circular variable that may cause trouble in numerical computation; for comprehensive discussion regarding the handling of circular variables, please refer to Marzio, Panzera, and Taylor (2012, 2013, 2014).”