Kernel estimation in high-energy physics

DOI10.1016/S0010-4655(00)00243-5zbMath0973.81546arXivhep-ex/0011057OpenAlexW2012206282MaRDI QIDQ5938253

Kyle Cranmer

Publication date: 9 December 2001

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/hep-ex/0011057

zbMATH Keywords

probability density functionunbinned and non-parametric estimate

Mathematics Subject Classification ID

Strong interaction, including quantum chromodynamics (81V05) Software, source code, etc. for problems pertaining to quantum theory (81-04)

Related Items (6)

Novel and simple non-parametric methods of estimating the joint and marginal densities ⋮ A new parametric method of estimating the joint probability density ⋮ Probability densities of the effective neutrino masses \(m_{\beta}\) and \(m_{\beta\beta}\) ⋮ Heavy-tailed distribution of cyber-risks ⋮ PhysicsGP: A genetic programming approach to event selection ⋮ A model independent safeguard against background mismodeling for statistical inference

Cites Work

• Unnamed Item
• On bandwidth variation in kernel estimates. A square root law

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