Automatic detection of parsimony for heteroskedastic time series processes

DOI10.1007/s005000100131zbMath0994.68602OpenAlexW2151584235MaRDI QIDQ1596378

Ralf Oestermark

Publication date: 21 May 2002

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s005000100131

zbMATH Keywords

geno-mathematical algorithmheteroskedastic time series

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Related Items (3)

A multipurpose parallel genetic hybrid algorithm for nonlinear nonconvex programming problems ⋮ Concurrent processing of heteroskedastic vector-valued mixture density models ⋮ Scalability of the genetic hybrid algorithm on a parallel supercomputer

Uses Software

• MINOS

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