Results 41 to 50 of about 1,716 (184)

Denoising Multi‐Color QR Codes and Stiefel‐Valued Data by Relaxed Regularizations

open access: yesPAMM, Volume 26, Issue 1, March 2026.
ABSTRACT The handling of manifold‐valued data, for instance, plays a central role in color restoration tasks relying on circle‐ or sphere‐valued color models, in the study of rotational or directional information related to the special orthogonal group, and in Gaussian image processing, where the pixel statistics are interpreted as values on the ...
Robert Beinert, Jonas Bresch
wiley   +1 more source

A new formulation of Hardy-type dynamic inequalities on time scales

open access: yesAIMS Mathematics
In this paper, we introduce a novel formulation of dynamic Hardy-type inequalities on a time scale, motivated by a recently-established convexity approach in the Haar measure.The classical Hardy inequality is refined so that the classical Lebesgue ...
Martin Bohner   +2 more
doaj   +1 more source

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

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 1, Page 102-139, March 2026.
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

A standardization procedure to incorporate variance partitioning‐based priors in latent Gaussian models

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 1, Page 364-394, March 2026.
ABSTRACT Latent Gaussian models (LGMs) are a subset of Bayesian Hierarchical models where Gaussian priors, conditional on variance parameters, are assigned to all effects in the model. LGMs are employed in many fields for their flexibility and computational efficiency. However, practitioners find prior elicitation on the variance parameters challenging
Luisa Ferrari, Massimo Ventrucci
wiley   +1 more source

A stochastic Fubini theorem: BSDE method

open access: yesJournal of Inequalities and Applications, 2017
In this paper, we prove a stochastic Fubini theorem by solving a special backward stochastic differential equation (BSDE, for short) which is different from the existing techniques. As an application, we obtain the well-posedness of a class of BSDEs with the Itô integral in drift term under a subtle Lipschitz condition.
openaire   +4 more sources

The stochastic Fubini theorem revisited [PDF]

open access: yesStochastics, 2011
In this paper, we present an elementary and self-contained proof of the stochastic Fubini theorem, which states that one can interchange a Lebesgue integral and a stochastic integral. The integrability conditions we use are weaker and more natural than the usual conditions in the literature.
openaire   +1 more source

Moment operators of the Cartesian margins of the phase space observables

open access: yes, 2004
The theory of operator integrals is used to determine the moment operators of the Cartesian margins of the phase space observables generated by the mixtures of the number states.
Birman M. S.   +7 more
core   +1 more source

WDVV‐based recursion for open Gromov–Witten invariants

open access: yesJournal of Topology, Volume 19, Issue 1, March 2026.
Abstract We give a computability result for open Gromov–Witten invariants based on open Witten–Dijkgraaf–Verlinde–Verlinde (WDVV) equations. This is analogous to the result of Kontsevich–Manin for closed Gromov–Witten invariants. For greater generality, we base the argument on a formal object, the Frobenius superpotential, that generalizes several ...
Roi Blumberg, Sara B. Tukachinsky
wiley   +1 more source

Paley-Wiener-type theorems for the Hankel transform of positive half-integer order in weighted $L^2$-spaces

open access: yesResearches in Mathematics
In this paper, we obtain several analogues of the Paley-Wiener theorem for the Hankel transform of order $m+1/2$ with $m\in\mathbb N$ in weighted spaces $L^2((0;1);x^{2m} dx)$.
R.V. Khats'
doaj   +1 more source

Radial mollifiers, mean value operators and harmonic functions in Dunkl theory [PDF]

open access: yes, 2016
In this paper we show how to use mollifiers to regularise functions relative to a set of Dunkl operators in R d with Coxeter-Weyl group W , multiplicity function k and weight function ω k.
Gallardo, Léonard, Rejeb, Chaabane
core   +1 more source

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