Track fitting with non-Gaussian noise

DOI10.1016/S0010-4655(96)00155-5zbMath1057.65502MaRDI QIDQ1292586

Rudolf Frühwirth

Publication date: 1997

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

Mathematics Subject Classification ID

Stochastic particle methods (65C35)

Related Items

A new algorithm for fitting tracks with energy losses due to Bremsstrahlung ⋮ Robust Kalman filter and smoother for errors-in-variables state space models with observation outliers based on the minimum-covariance determinant estimator ⋮ A Gaussian-sum filter for vertex reconstruction ⋮ Mixture models of multiple scattering: Computation and simulation ⋮ On the treatment of energy loss in track fitting

Cites Work

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• Track fitting with long-tailed noise: A Bayesian approach
• Non-Gaussian seasonal adjustment
• The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother
• Optimal collapsing of mixture distributions in robust recursive estimation
• On the stopping of fast particles and on the creation of positive electrons

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