Results 51 to 60 of about 4,460,603 (181)
Reproducing kernel Hilbert spaces of Gaussian priors
We review definitions and properties of reproducing kernel Hilbert spaces attached to Gaussian variables and processes, with a view to applications in nonparametric Bayesian statistics using Gaussian priors.
Vaart, AW Aad van der +7 more
core +2 more sources
ABSTRACT Purpose To accelerate MRI further, rapid B0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing ...
Rui Tian, Klaus Scheffler
wiley +1 more source
Electrochemical experiments reveal what happens, whereas first principles calculations explain why. Emerging computational electrochemistry is bridging these perspectives, enabling quantitative understanding of electrode/electrolyte interfaces and enabling the rational design of next‐generation energy storage materials.
Kenji Oqmhula, Ryo Maezono, Kenta Hongo
wiley +1 more source
Reproducing kernel hilbert spaces and applications in finance
Ο βασικός στόχος της παρούσας διπλωματικής είναι η μελέτη της λειτουργίας και των βασικών ιδιοτήτων των χώρων hilbert με πυρήνα αναπαραγωγής (RKHS) αλλά και εφαρμογές αυτού στα χρηματοοικονομικά.
Tσολάκη, Nίκη
core
On the basis of a reproducing kernel Hilbert space, reproducing kernel functions for solving the coefficient inverse problem for the kinetic equation are given in this paper.
Esra Karatas Akgül
core +1 more source
Solution of Fractional Mathieu Equation by Reproducing Kernel Hilbert Space Method [PDF]
In this paper we use reproducing kernel Hilbert space method (RKHSM) and fractional power series to solve fractional Mathieu equation. A comparison tables are given.
AL- Azzawi, Saad N. +2 more
core +1 more source
Testing for Genetic Interactions in Complex Disease With Distance Correlation
ABSTRACT Understanding epistasis (genetic interaction) may shed some light on the genomic basis of common diseases, including disorders of maximum interest due to their high socioeconomic burden, like schizophrenia. Distance correlation is an association measure that characterizes general statistical independence between random variables, not only the ...
Fernando Castro‐Prado +4 more
wiley +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Reproducing kernel Hilbert spaces [PDF]
Cataloged from PDF version of article.In this thesis we make a survey of the theory of reproducing kernel Hilbert spaces associated with positive definite kernels and we illustrate their applications for interpolation problems of Nevanlinna-Pick type ...
Okutmuştur, Baver
core
A new application of reproducing kernel Hilbert space method
We demonstrate a new application of the reproducing kernel Hilbert space method in this paper.
A. Akgül +3 more
core +1 more source

