Recursive kernel density estimators under a weak dependence condition
Copyright policy )Recursive kernel density estimators under a weak dependence condition
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- Indiana University United States
- DePaul University United States
time series models, Appropriate bandwidths, Asymptotic distribution theory in statistics, asymptotic normality, uniform convergence, weak dependence condition, Density estimation, kernel, strictly stationary sequence, Asymptotic properties of nonparametric inference, density estimation, joint densities, Nonparametric estimation, absolute regularity
time series models, Appropriate bandwidths, Asymptotic distribution theory in statistics, asymptotic normality, uniform convergence, weak dependence condition, Density estimation, kernel, strictly stationary sequence, Asymptotic properties of nonparametric inference, density estimation, joint densities, Nonparametric estimation, absolute regularity
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