# Estimating multidimensional probability fields using the Field Estimator for Arbitrary Spaces (FiEstAS) with applications to astrophysics

@article{Ascasibar2010EstimatingMP, title={Estimating multidimensional probability fields using the Field Estimator for Arbitrary Spaces (FiEstAS) with applications to astrophysics}, author={Yago Ascasibar}, journal={Comput. Phys. Commun.}, year={2010}, volume={181}, pages={1438-1443} }

Abstract The Field Estimator for Arbitrary Spaces (FiEstAS) computes the continuous probability density field underlying a given discrete data sample in multiple, non-commensurate dimensions. The algorithm works by constructing a metric-independent tessellation of the data space based on a recursive binary splitting. Individual, data-driven bandwidths are assigned to each point, scaled so that a constant “mass” M 0 is enclosed. Kernel density estimation may then be performed for different… Expand

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