wavelet decomposition of the estimated trend function into a low-resolution and a high-resolution component, a test statistic …

if the marginals are close to being independent. We suggest using wavelet estimators to approximate the copula density …

. In contrast, Wavelet based feature selection, for its ability to provide localized frequency information about a function … of a signal, makes it a promising one for efficient classification. Research in this direction states that wavelet based … that problem and able to get a near optimal solution. In this, a hybrid wavelet based radial basis function (RBF) neural …

In this paper, we empirically show how wavelet decomposition can provide an easy vehicle to study the systematic risk … market, we report that the conventional beta coefficients estimated from CAPM are essentially an average of wavelet betas but … securities. Additionally, the wavelet beta coefficients for Large Cap stocks are found more stable than Mid and Small capitalized …

series using traditional unit root tests as well as a wavelet-based unit root test developed by Fan and Gencay (2010). Both … a proclivity to report that tourism income series is I(1) or non-stationary. On the other hand, the wavelet-base unit … root test indicates that tourism income is stationary. The empirical result of wavelet-based test implies that impact of a …

, such as Multivariate DCC-GARCH and Continuous Wavelet Transform (CWT) to test the research objective. The period of …