Results 61 to 70 of about 16,629 (155)

A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series

Environmetrics, Volume 37, Issue 4, May 2026.
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, Ruben Dario Guevara, Sergio A. Calderón V., Marc Saez, Maria A. Barceló   +4 more
wiley   +1 more source

Looking for Synergies in Healthy Upper Limb Motion: A Focus on the Wrist

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Recent studies on human upper limb motion highlighted the benefit of dimensionality reduction techniques to extrapolate informative joint patterns.
F. Masiero, I. Fagioli, L. Truppa, A. Mannini, L. Cappello, M. Controzzi   +5 more
doaj   +1 more source

A New Approach to Statistical Inference for Functional Time Series

Journal of Time Series Analysis, Volume 47, Issue 3, Page 675-686, May 2026.
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

Identification of key transcription factors in preeclampsia

Hypertension in Pregnancy, 2019
Objective: The aim of this study was to identify important transcription factors (TFs) in preeclampsia. Methods: Fisher’s test was applied to identify differentially expressed pathways.
Junhu Wang, Huijie Liu, Yunxia Guo, Chunxiao Zhou, Tingting Qi   +4 more
doaj   +1 more source

Functional principal component analysis for incomplete space–time data

Environmental and Ecological Statistics
Environmental signals, acquired, e.g., by remote sensing, often present large gaps of missing observations in space and time. In this work, we present an innovative approach to identify the main variability patterns, in space–time data, when data may be ...
Alessandro Palummo, Eleonora Arnone, L. Formaggia, L. Sangalli   +3 more
semanticscholar   +1 more source

Beaks of the Permo‐Triassic: a morpho‐functional analysis at the dawn of a novel structure in tetrapod evolution

Palaeontology, Volume 69, Issue 3, 2026.
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, James L. King, Suresh A. Singh, Emily J. Rayfield, Michael J. Benton   +4 more
wiley   +1 more source

Oil and the stock market revisited: A mixed functional VAR approach

Quantitative Economics, Volume 17, Issue 2, Page 541-589, May 2026.
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, Yoosoon Chang, Jamie L. Cross   +2 more
wiley   +1 more source

Patterns of weight gain during the first half of pregnancy and risk of large newborns in women with insulin‐dependent diabetes mellitus

Pregnancy, Volume 2, Issue 2, March 2026.
Abstract Objective To identify patterns of gestational weight gain (pGWG) trajectories in the first 20 weeks of gestation and to determine the association of these patterns with the delivery of large‐for‐gestational‐age (LGA) infants among women with insulin‐dependent diabetes mellitus (IDDM).
Ketrell L. McWhorter, Katherine Bowers, Enas Ghulam, Rhonda D. Szczesniak, Shelley Ehrlich, Lawrence M. Dolan, Ranjan Deka, Menachem Miodovnik, Jane C. Khoury   +8 more
wiley   +1 more source

Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study

Statistics in Medicine, Volume 45, Issue 6-7, March 2026.
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, Robert J. B. Goudie, Brian D. M. Tom   +2 more
wiley   +1 more source

Filtrated common functional principal component analysis of multigroup functional data

Annals of Applied Statistics
Local field potentials (LFPs) are signals that measure electrical activities in localized cortical regions and are collected from multiple tetrodes implanted across a patch on the surface of cortex. Hence, they can be treated as multigroup functional data,
Shuhao Jiao, Ron D. Frostig, H. Ombao
semanticscholar   +1 more source