Results 71 to 80 of about 13,358 (271)

On goodness‐of‐fit testing for self‐exciting point processes

open access: yesScandinavian Journal of Statistics, EarlyView.
Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling   +1 more
wiley   +1 more source

RKHS approach for signal detection in rotation and scale space random fields [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2016
Two important papers of Worsley, Siegmund and coworkers consider rotation and scale space random fields for detecting signals in fMRI (functional magnetic resonance imaging) brain images. They use the global maxima of images for detection of a signal. In
K. Shafie, Akbar Abravesh
doaj   +1 more source

Reproducing Kernel Hilbert Spaces and fractal interpolation

open access: yesJournal of Computational and Applied Mathematics, 2011
The main result of this work is to link two fields: fractal interpolation and reproducing kernel Hilbert space. The corresponding spaces of the simple fractal interpolation functions are also reproducing kernel Hilbert spaces, as specific cases. The authors provide the elements for calculating the respective kernel functions for reproducing kernel ...
Bouboulis, P., Mavroforakis, M.
openaire   +2 more sources

Spatial depth for data in metric spaces

open access: yesScandinavian Journal of Statistics, EarlyView.
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley   +1 more source

Unveiling sex dimorphism in the healthy cardiac anatomy: Fundamental differences between male and female heart shapes

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend We present a shape modelling‐based morphological analysis of sex differences in cardiac anatomy. We conduct our analysis on 456 healthy subjects from the UK Biobank (227M/229F) to uncover sex‐based differences in healthy cardiac morphology.
Beatrice Moscoloni   +4 more
wiley   +1 more source

A New Application of the Reproducing Kernel Hilbert Space Method to Solve MHD Jeffery-Hamel Flows Problem in Nonparallel Walls

open access: yesAbstract and Applied Analysis, 2013
The present paper emphasizes Jeffery-Hamel flow: fluid flow between two rigid plane walls, where the angle between them is 2α. A new method called the reproducing kernel Hilbert space method (RKHSM) is briefly introduced.
Mustafa Inc   +2 more
doaj   +1 more source

Skew-symmetric and essentially unitary operators via Berezin symbols

open access: yesOpen Mathematics, 2020
We characterize skew-symmetric operators on a reproducing kernel Hilbert space in terms of their Berezin symbols. The solution of some operator equations with skew-symmetric operators is studied in terms of Berezin symbols.
Altwaijry Najla   +3 more
doaj   +1 more source

Symmetric Operators and Reproducing Kernel Hilbert Spaces [PDF]

open access: yesComplex Analysis and Operator Theory, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

GWAS‐assisted genomic selection for achieving high‐precision early sex prediction in Populus deltoides

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Poplar (Populus spp.) breeding programs increasingly prioritize the development of male varieties due to the environmental issues caused by female catkins. Therefore, there is an urgent need for a reliable technique for early sex identification in Populus.
Xinglu Zhou   +3 more
wiley   +1 more source

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