Results 41 to 50 of about 740 (113)
PurposeThis study investigated the relationship between the ground reaction force-time profile of a countermovement jump (CMJ) and fatigue, specifically focusing on predicting the onset of neuromuscular versus metabolic fatigue using the CMJ.MethodTen ...
Paul Pao-Yen Wu +5 more
doaj +1 more source
A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series
ABSTRACT Outlier detection in functional time series is challenging due to temporal dependence and the simultaneous presence of magnitude, shape, and partial anomalies. Existing methods often assume independence or rely on model based approaches, such as the Standard Smoothed Bootstrap on Residuals (SmBoR), which may not work well if the model is ...
David Solano +4 more
wiley +1 more source
A New Approach to Statistical Inference for Functional Time Series
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
Abstract The Triassic was a unique time for beak evolution, as seen in a wide diversity of terrestrial tetrapods. Beaks were present in dicynodont synapsid survivors of the Permo‐Triassic mass extinction event (PTME) and evolved independently several times in archosauromorphs and their relatives.
Damiano Landi +4 more
wiley +1 more source
Oil and the stock market revisited: A mixed functional VAR approach
This paper proposes a new mixed vector autoregression (MVAR) model to examine the relationship between aggregate time series and functional variables in a multivariate setting. The model facilitates a reexamination of the oil‐stock price nexus by estimating the effects of demand and supply shocks from the global market for crude oil on the entire ...
Hilde C. Bjørnland +2 more
wiley +1 more source
BackgroundWastewater-based epidemiology (WBE) is a new methodology for estimating the drug load in a population. Simple summary statistics and specification tests have typically been used to analyze WBE data, comparing differences between weekday and ...
Stefania Salvatore +5 more
doaj +1 more source
ABSTRACT Factor analysis (FA) can be used to identify key biomarkers in biological processes by assuming that latent biological pathways (statistically, “latent factors”) drive the activity of measurable biomarkers (“observed variables”). However, biological pathways often interact, meaning that the classical FA assumption of independence between ...
Jiachen Cai +2 more
wiley +1 more source
Data-Driven Characterization of Heart Rate Dynamics During Sleep Using Functional Data Analysis
Introduction Obstructive Sleep Apnea (OSA) is a highly prevalent sleep disorder characterized by recurrent upper airway obstruction during sleep, leading to intermittent hypoxia and autonomic nervous system dysregulation. Heart Rate Variability (HRV),
Samuele Minari +4 more
doaj +1 more source
Advances in Modal Regression: From Theoretical Foundations to Practical Implementations
Modal regression. ABSTRACT Modal regression has emerged as a powerful alternative to traditional mean and quantile regression by focusing on estimating the conditional mode rather than the conditional mean or quantiles. This approach offers robustness to outliers and skewed distributions while providing more informative prediction intervals for ...
Sijia Xiang, Weixin Yao, Xinping Cui
wiley +1 more source
ABSTRACT Technological advancements in wearable devices and medical imaging often lead to high‐dimensional physiological signals in the form of images or surfaces. To address these data structures, we develop a novel survival on image regression model with a specific focus on partially functional distributional representation of wearable data.
Rahul Ghosal +2 more
wiley +1 more source

