Using zero-norm constraint for sparse probability density function estimation

DOI10.1080/00207721.2011.564673zbMATH Open1305.93193OpenAlexW2131781663MaRDI QIDQ2935114

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Publication date: 22 December 2014

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2011.564673

zbMATH Keywords

cross-validationprobability density functionsparse modellingParzen window

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Cites Work

• On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
• Orthogonal least squares methods and their application to non-linear system identification
• 10.1162/153244303322753751
• On Estimation of a Probability Density Function and Mode

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Effective zero-norm minimization algorithms for noisy compressed sensing

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