Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams
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Publication:5214245
zbMath1446.62113arXiv1803.02739MaRDI QIDQ5214245
Vasileios Maroulas, Joshua L. Mike, Christopher Oballe
Publication date: 7 February 2020
Full work available at URL: https://arxiv.org/abs/1803.02739
kernel density estimationtopological data analysispersistence homologyEEG signalsfinite set statisticsglobal distribution of persistence diagrams
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Topological data analysis (62R40)
Related Items (8)
Bayesian topological signal processing ⋮ ADLGM: an efficient adaptive sampling deep learning Galerkin method ⋮ Bayesian topological learning for classifying the structure of biological networks ⋮ ToFU: topology functional units for deep learning ⋮ The Persistence Landscape and Some of Its Properties ⋮ A stable cardinality distance for topological classification ⋮ A random persistence diagram generator ⋮ A Bayesian Framework for Persistent Homology
Uses Software
Cites Work
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