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  • Principles and applications of statistical testing as a tool for inference of underlying mechanisms from experimental time series are discussed. The computational realizations of the test null hypothesis known as the surrogate data are introduced within the context of discerning nonlinear dynamics from noise, and discussed in examples of testing for nonlinearity in atmospheric dynamics, solar cycle and brain signals. The concept is further generalized for detection of directional interactions, or causality in bivariate time series.
  • Principles and applications of statistical testing as a tool for inference of underlying mechanisms from experimental time series are discussed. The computational realizations of the test null hypothesis known as the surrogate data are introduced within the context of discerning nonlinear dynamics from noise, and discussed in examples of testing for nonlinearity in atmospheric dynamics, solar cycle and brain signals. The concept is further generalized for detection of directional interactions, or causality in bivariate time series. (en)
  • Diskutujeme principy a aplikace statistického testování jako nástroje odhalování mechanismu generujících pozorované časové rady. Popisujeme numerické generování realizaci nulových hypotéz v kontextu odlišení nelineární dynamiky od sumu. Uvádíme příklady testování nelinearity v dynamice atmosféry, slunečního cyklu a v signálech lidského mozku. Metodologii dále zobecňujeme k využití v testování kauzality ve dvourozměrných časových řadách. (cs)
Title
  • From Nonlinearity to Causality: Statistical Testing and Inference of Physical Mechanisms Underlying Complex Dynamics
  • Od nelinearity ke kauzalite: Statistické testování a inference fyzikálních mechanismů vedoucích ke složité dynamice (cs)
  • From Nonlinearity to Causality: Statistical Testing and Inference of Physical Mechanisms Underlying Complex Dynamics (en)
skos:prefLabel
  • From Nonlinearity to Causality: Statistical Testing and Inference of Physical Mechanisms Underlying Complex Dynamics
  • Od nelinearity ke kauzalite: Statistické testování a inference fyzikálních mechanismů vedoucích ke složité dynamice (cs)
  • From Nonlinearity to Causality: Statistical Testing and Inference of Physical Mechanisms Underlying Complex Dynamics (en)
skos:notation
  • RIV/67985807:_____/07:00308084!RIV08-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 307;348
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA3042401), R, Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 6
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 422669
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  • RIV/67985807:_____/07:00308084
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  • inference; statistical testing; time series; surrogate data; nonlinearity; causality (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [9EF1FC4EB183]
http://linked.open...i/riv/nazevZdroje
  • Contemporary Physics
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 48
http://linked.open...iv/tvurceVysledku
  • Paluš, Milan
http://linked.open...n/vavai/riv/zamer
issn
  • 0010-7514
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