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Moving Taylor Bayesian Regression

Moving Taylor Bayesian Regression (MoTaBaR) is a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, developed at PIK.
This paper (SISC 2013) describes the theory of MoTaBaR.

This Sourceforge project develops an open-source reference implementation of MoTaBaR as a package for the programming language Python.

This work is supported by the PROGRESS research cluster.
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