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[ascl:2312.004] DENSe: Bayesian density estimation for Poisson data

DENSe enables Bayesian non-parametric inferences of densities of Poisson data counts. Its framework of stateless methods is written in Python, although it relies on NIFTy (ascl:1302.013, ascl:1903.008) for the heavy lifting. DENSe utilizes all available information in the data by modeling the inherent correlation structure using a Matérn kernel. The inference of the density from count data can be written in a single line of python code. The fitting method takes a multidimensional numpy array as input and returns multidimensional arrays of the same dimensions encoding the density field.

Code site:
https://ift.pages.mpcdf.de/public/dense/ https://gitlab.mpcdf.mpg.de/ift/public/dense
Used in:
https://ui.adsabs.harvard.edu/abs/2023arXiv230310099T
Described in:
https://ui.adsabs.harvard.edu/abs/2022PLoSO..1775011G
Bibcode:
2023ascl.soft12004E

Views: 2267

ascl:2312.004
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