Results 81 to 90 of about 48,981 (245)
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Total Positivity: an application to positive linear operators and to their limiting semigroups
Some shape-preserving properties of positive linear operators, involving higher order convexity and Lipschitz classes, are investigated from the point of view of weak Tchebycheff systems and total positivity in the sense of Karlin [8].
Antonio Attalienti, Ioan Raşa
doaj +2 more sources
Approximation theory is a very important field which has various applications in pure and applied mathematics. The present study deals with a new theorem on the approximation of functions of Lipschitz class by using Euler’s mean of conjugate series of ...
Jitendra Kumar Kushwaha
doaj +1 more source
The theory of prime ends and spatial mappings [PDF]
It is given a canonical representation of prime ends in regular spatial domains and, on this basis, it is studied the boundary behavior of the so-called lower Q-homeomorphisms that are the natural generalization of the quasiconformal mappings.
Kovtonyuk, Denis, Ryazanov, Vladimir
core
ABSTRACT Aim(s) To explore the feasibility and acceptability of acoustic monitoring and real‐time recommendations for stress detection and management (i.e., smarthealth intervention). Design This qualitative study used a framework of acceptability for healthcare interventions.
Eunjung Ko +9 more
wiley +1 more source
Gradual Changes in Functional Time Series
ABSTRACT We consider the problem of detecting gradual changes in the sequence of mean functions from a not necessarily stationary functional time series. Our approach is based on the maximum deviation (calculated over a given time interval) between a benchmark function and the mean functions at different time points.
Patrick Bastian, Holger Dette
wiley +1 more source
In this paper, we propose two modified two-step proximal methods that are formed through the proximal-like mapping and inertial effect for solving two classes of equilibrium problems.
Habib ur Rehman +4 more
doaj +1 more source
Operator-Lipschitz functions in Schatten–von Neumann classes
This paper resolves a number of conjectures in the perturbation theory of linear operators. Namely, we prove that every Lipschitz function is operator Lipschitz in the Schatten-von Neumann ideals $S^ $, $1 < < \infty$. The negative result for $S^ $, $ = 1, \infty$ was earlier established by Yu. Farforovskaya in 1972.
Potapov, Denis, Sukochev, Fedor
openaire +3 more sources
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth +2 more
wiley +1 more source
This study has developed a unified framework for modeling economic growth through Caputo fractional differential equations. The framework has established the existence and uniqueness of solutions by employing a generalized fixed-point approach.
Min Wang, Muhammad Din, Mi Zhou
doaj +1 more source

