Estimating and Testing Nonlinear Local Dependence Between Two Time Series
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Publication:6634895
DOI10.1080/07350015.2017.1407777zbMATH Open1548.62581MaRDI QIDQ6634895
Publication date: 8 November 2024
Published in: Journal of Business and Economic Statistics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series
- Local Gaussian correlation: a new measure of dependence
- Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation
- Estimation of entropy and other functionals of a multivariate density
- Brownian distance covariance
- Locally parametric nonparametric density estimation
- Conditional density estimation using the local Gaussian correlation
- The locally Gaussian density estimator for multivariate data
- The jackknife and the bootstrap for general stationary observations
- Measuring nonlinear dependence in time-series, a distance correlation approach
- Local Gaussian Autocorrelation and Tests for Serial Independence
- A nonparametric test of serial independence based on the empirical distribution function
- The Stationary Bootstrap
- Generalized Spectral Tests for Serial Dependence
- Modelling Nonlinear Economic Time Series
- Testing independence for multivariate time series via the auto-distance correlation matrix
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