Results 51 to 60 of about 716,617 (262)

Break point detection for functional covariance

Scandinavian Journal of Statistics, 2022
AbstractMany neuroscience experiments record sequential trajectories where each trajectory consists of oscillations and fluctuations around zero. Such trajectories can be viewed as zero‐mean functional data. When there are structural breaks in higher‐order moments, it is not always easy to spot these by mere visual inspection.
Shuhao Jiao, Ron D. Frostig, Hernando Ombao   +2 more
openaire   +3 more sources

30 Years of space–time covariance functions [PDF]

WIREs Computational Statistics, 2020
AbstractIn this article, we provide a comprehensive review of space–time covariance functions. As for the spatial domain, we focus on either the d‐dimensional Euclidean space or on the unit d‐dimensional sphere. We start by providing background information about (spatial) covariance functions and their properties along with different types of ...
Porcu, Emilio, Furrer, Reinhard, Nychka, Douglas   +2 more
openaire   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source

The analysis of identifying the digital images of human skin / Žmogaus odos skaitmeninių vaizdų identifikavimo analizė / Анализ идентификации цифровых изображений кожи человека

Geodesy and Cartography, 2011
The article identifies the digital images of human skin using covariance functions and Wavelet theory. The terms of covariance functions are defined using random functions made of scattering arrays of the pixels of digital images considering columns as ...
Jonas Skeivalas, Silvija Kontautienė, Skaidra Valiukevičienė   +2 more
doaj   +1 more source

Virtual or In‐Person: Does It Matter? Comparing Pain, Function, Quality of Life, Self‐Efficacy, and Physical Function Outcomes of Virtual, Hybrid, and In‐Person Education and Exercise Program Participants

Arthritis Care &Research, EarlyView.
Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme, Vanina Dal Bello‐Haas, Ayse Kuspinar, Patricia Strachan, Michael Zywiel, James Young, Rhona McGlasson, Lisa C. Carlesso   +7 more
wiley   +1 more source

Effects of data structure on the estimation of covariance functions to describe genotype by environment interactions in a reaction norm model

Genetics Selection Evolution, 2004
Covariance functions have been proposed to predict breeding values and genetic (co)variances as a function of phenotypic within herd-year averages (environmental parameters) to include genotype by environment interaction.
Veerkamp Roel F, Bijma Piter, Calus Mario PL   +2 more
doaj   +1 more source

HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification

MethodsX, 2020
We provide more technical details about the HLIBCov package, which is using parallel hierarchical (H-) matrices to: • Approximate large dense inhomogeneous covariance matrices with a log-linear computational cost and storage requirement. • Compute matrix-
Alexander Litvinenko, Ronald Kriemann, Marc G. Genton, Ying Sun, David E. Keyes   +4 more
doaj   +1 more source

Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes [PDF]

, 2013
Covariance parameter estimation of Gaussian processes is analyzed in an asymptotic framework. The spatial sampling is a randomly perturbed regular grid and its deviation from the perfect regular grid is controlled by a single scalar regularity parameter.
Bachoc, François
core   +3 more sources

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Estruturas de covariância de peso em função da idade de animais Nelore das regiões Sudeste e Centro-Oeste do Brasil Covariance structure of body weight in function of age for Nellore animals from Southeast and Center West of Brazil

Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2008
Dados de peso de animais da raça Nelore de 90 a 450 dias de idade das regiões Sudeste (SE) e Centro-Oeste (CO) do Brasil foram utilizados para comparar estruturas de (co)variância de efeitos aleatórios em função de idade estimadas para as duas regiões ...
B.D. Valente, M.A. Silva, L.O.C. Silva, J.A.G. Bergmann, J.C.C. Pereira, A.B. Fridrich, I. C. Ferreira, G.S.S. Corrêa   +7 more
doaj   +1 more source