Transcripts: an algebraic approach to coupled time series.
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Ordinal symbolic analysis and its application to biomedical recordingsApplication of joint permutations for predicting coupled time series.Approximating high-dimensional dynamics by barycentric coordinates with linear programming.Computing algebraic transfer entropy and coupling directions via transcripts.Assessment of resampling methods for causality testing: A note on the US inflation behavior.Infragranular layers lead information flow during slow oscillations according to information directionality indicators.Information directionality in coupled time series using transcripts.Describing high-dimensional dynamics with low-dimensional piecewise affine models: applications to renewable energy.
P2860
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P2860
Transcripts: an algebraic approach to coupled time series.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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name
Transcripts: an algebraic approach to coupled time series.
@en
Transcripts: an algebraic approach to coupled time series.
@nl
type
label
Transcripts: an algebraic approach to coupled time series.
@en
Transcripts: an algebraic approach to coupled time series.
@nl
prefLabel
Transcripts: an algebraic approach to coupled time series.
@en
Transcripts: an algebraic approach to coupled time series.
@nl
P2093
P2860
P356
P1433
P1476
Transcripts: an algebraic approach to coupled time series.
@en
P2093
José M Amigó
Roberto Monetti
Thomas Aschenbrenner
Wolfram Bunk
P2860
P304
P356
10.1063/1.3673238
P577
2012-03-01T00:00:00Z