Results 181 to 190 of about 4,790,611 (321)
Journal of Sleep Research, EarlyView.ABSTRACT Slow waves and sleep spindles characterise non‐rapid eye movement (NREM) sleep and support cognitive and plasticity‐related functions. While their stability across nights is well established, less is known about their consistency across daytime naps.
Damiana Bergamo +3 more
wiley +1 more source
Stochastic integration with respect to cylindrical Lévy processes in Hilbert spaces: An L2 approach [PDF]
, 2014 Markus Riedle
openalex +1 more source
Journal of Sleep Research, EarlyView.ABSTRACT Machine‐learning‐based sleep staging models have achieved expert‐level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non‐conventional referencing montage and the lack of benchmarking against PSG.
Federico Salfi +6 more
wiley +1 more source
Asymptotic behaviour of a family of gradient algorithms in ℝ d and Hilbert spaces [PDF]
, 2005 Luc Pronzato +2 more
openalex +1 more source
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
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 strong convergence theorem of common elements in Hilbert spaces [PDF]
, 2013 Chen Zi-gao
openalex +1 more source
Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection
Journal of Time Series Analysis, EarlyView.ABSTRACT This article applies the functional sieve bootstrap (FSB) to estimate the distribution of the partial sum process for time series stemming from a weakly stationary functional process. Consistency of the FSB procedure under weak assumptions on the underlying functional process is established.
Efstathios Paparoditis +2 more
wiley +1 more source