Results 151 to 160 of about 4,792,820 (293)

On Metric Choice in Dimension Reduction for Fréchet Regression

open access: yesInternational Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale   +3 more
wiley   +1 more source

Robust Distance Covariance

open access: yesInternational Statistical Review, EarlyView.
Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder   +2 more
wiley   +1 more source

Navigating the 16-dimensional Hilbert space of a high-spin donor qudit with electric and magnetic fields. [PDF]

open access: yesNat Commun
Fernández de Fuentes I   +13 more
europepmc   +1 more source

Differential Nap‐To‐Nap Stability of Sleep Spindles, Slow Waves, and their Temporal Coupling: An Exploratory Study

open access: yesJournal 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

The Potential of Ensemble‐Based Automated Sleep Staging on Single‐Channel EEG Signal From a Wearable Device

open access: yesJournal 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

Monitoring panels of sparse functional data

open access: yesJournal 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

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