7 citations · 18 across the 15 of their papers we have counts for
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math.ST2016
Orthogonal Series Estimates on Strong Spatial Mixing Data
Johannes T. N. Krebs
We study a nonparametric regression model for sample data which is defined on an -dimensional lattice structure and which is assumed to be strong spatial mixing: we use design a…
math.ST2016
Nonparametric Density Estimation for Spatial Data with Wavelets
Johannes T. N. Krebs
Nonparametric density estimators are studied for -dimensional, strongly spatial mixing data which is defined on a general -dimensional lattice structure. We consider linear a…
math.ST2016
Non-parametric Regression for Spatially Dependent Data with Wavelets
Johannes T. N. Krebs
We study non-parametric regression estimates for random fields. The data satisfies certain strong mixing conditions and is defined on the regular -dimensional lattice structure.…