Results 201 to 210 of about 163,902 (301)
Journal of Sleep Research, EarlyView.ABSTRACT Recent studies have shown that acoustic stimulation, a common neuromodulation technique, can enhance slow‐wave activity (SWA), which is associated with immune, autonomic nervous system activity and cognitive health benefits. Despite some disagreement, many studies suggest that maximising tone‐evoked SWA depends on the timing of the acoustic ...
Mohamad Forouzanfar +4 more
wiley +1 more source
On Hilbert transforms along curves [PDF]
Bulletin of the American Mathematical Society, 1974 Nagel, Alexander +2 more
openaire +2 more sources
Monitoring panels of sparse functional data
Journal of Time Series Analysis, EarlyView.Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
Entropy encoding, Hilbert space, and Karhunen-Loève transforms [PDF]
, 2007 Palle E. T. Jørgensen, Myung-Sin Song
openalex +1 more source
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth +2 more
wiley +1 more source
A New Approach to Statistical Inference for Functional Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT The analysis of time‐indexed functional data plays an important role in the field of business and economic statistics. In the literature, statistical inference for functional time series often involves reducing the dimension of functional data to a finite dimension K$$ K $$, followed by the use of tools from multivariate analysis.
Hanjia Gao, Yi Zhang, Xiaofeng Shao
wiley +1 more source
A Hilbert transform representation of the error in Lagrange interpolation
, 2004 D.G. Kubayi, D. S. Lubinsky
openalex +1 more source
Pointwise convergence of the ergodic bilinear Hilbert transform [PDF]
, 2007 Ciprian Demeter
openalex +1 more source
Density‐Valued ARMA Models by Spline Mixtures
Journal of Time Series Analysis, EarlyView.ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley +1 more source
Comparing Robust Versions of Distance Covariance: A Comment on the Biloop Approach
International Statistical Review, EarlyView.
Dominic Edelmann
wiley +1 more source