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» Granger Causality Analysis in Irregular Time Series
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JMLR
2011
93views more  JMLR 2011»
13 years 1 months ago
Time Series Analysis with the Causality Workbench
The Causality Workbench project is an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), it provides a number of resources, includi...
Isabelle Guyon, Alexander Satnikov, Constantin F. ...
JMLR
2011
187views more  JMLR 2011»
13 years 1 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 4 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
ICANN
2007
Springer
14 years 16 days ago
Information Theoretic Derivations for Causality Detection: Application to Human Gait
As a causality criterion we propose the conditional relative entropy. The relationship with information theoretic functionals mutual information and entropy is established. The con...
Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hu...
CSDA
2007
124views more  CSDA 2007»
13 years 6 months ago
Wavelet based time-varying vector autoregressive modelling
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
João Ricardo Sato, Pedro Alberto Morettin, ...