FINDING UNDERLYING FACTORS IN TIMESERIES

DOI10.1080/01969720290040614zbMath1003.62079OpenAlexW2031858034MaRDI QIDQ4781286

Ying Han, Colin Fyfe

Publication date: 2 February 2003

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969720290040614

zbMATH Keywords

predictionindependent component analysisprincipal component analysisfactor analysisneural methodscomplexity pursuitpre-processing time series

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Factor analysis and principal components; correspondence analysis (62H25) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (1)

Twinned principal curves

Cites Work

• Complexity Pursuit: Separating Interesting Components from Time Series
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