Description
Based on detrended cross-correlation analysis (DCCA), this method is improved by including partial-correlation technique, which can be applied to quantify the relations of two non-stationary signals (with influences of other signals removed) on different time scales.
Papers Using This Method
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis2025-06-10Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease2023-02-02Comparison between Time Shifting Deviation and Cross-correlation Methods2021-11-15Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical application2015-09-20Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces2015-04-15Detrended Partial-Cross-Correlation Analysis: A New Method for Analyzing Correlations in Complex System2015-01-30