Multifractal detrended cross-correlation analysis of temporal and spatial seismic data
By S. Shadkhoo, Gholamreza Jafari. 2009
152 citations recorded by the source corpus.
Subfields: Condensed Matter Physics, Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/e59246816dfcc75745d3aeb8cf90bc60e20cd2c4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Condensed Matter Physics
In Economics and Econometrics
- Ladislav Kristoufek
- A. M. S. Filho
- M. F. D. Silva
- Gilney F. Zebende
- Ling-Yun He
- Shu-Peng Chen
- Guangxi Cao
- Longbing Xu
In Statistical and Nonlinear Physics
- Ladislav Kristoufek
- A. M. S. Filho
- M. F. D. Silva
- Gilney F. Zebende
- Ling-Yun He
- Shu-Peng Chen
- Guangxi Cao
- Longbing Xu
Citations in the corpus
- Autocorrelation and cross-correlation in time series of homicide and attempted homicide (2014, methodology): “Naturally, in the next section, we apply a generalization of the DFA method, called detrended cross-correlation analysis (DCCA), to study the long range cross-correlations in the presence of non-stationarity [49–59].”
- Measuring correlations between non-stationary series with DCCA coefficient (2013, background): “Analysis of power-law cross-correlations between various time series has become a popular topic in a broad range of fields—hydrology [1], seismology [2], traffic [3–5], finance [6–9], biometrics [10], (hydro)meteorology [11,12], biology [13], DNA sequences [14], electricity [15], neuroscience [16], ”
- Multifractal Detrended Cross-Correlation Analysis of agricultural futures markets (2011, methodology): “2 Method Let us briefly introduce MF-DCCA method [10, 11].”