Results 101 to 110 of about 119,322 (225)

Iterative Methods for Finding Solutions of a Class of Split Feasibility Problems over Fixed Point Sets in Hilbert Spaces

Mathematics, 2019
We consider the split feasibility problem in Hilbert spaces when the hard constraint is common solutions of zeros of the sum of monotone operators and fixed point sets of a finite family of nonexpansive mappings, while the soft constraint is the inverse ...
Suthep Suantai, Narin Petrot, Montira Suwannaprapa   +2 more
doaj   +1 more source

Debts and experienced financial scarcity: associations with nonsuicidal self‐injury and suicidality in adolescents at risk for psychopathology

Child and Adolescent Mental Health, EarlyView.
Background As adolescents transition to increased independence, they may also begin to encounter financial difficulties, including debt, which may contribute to psychological distress. While financial difficulties and experienced financial scarcity have been well‐documented contributors to suicidality in adults, their impact on adolescent populations ...
Susan J. Ravensbergen, Nita G.M. de Neve‐Enthoven, Diandra C. Bouter, Wilco W. van Dijk, Witte J.G. Hoogendijk, Nina H. Grootendorst‐van Mil   +5 more
wiley   +1 more source

Convergence theorems for split feasibility problems on a finite sum of monotone operators and a family of nonexpansive mappings

Journal of Inequalities and Applications, 2018
In this paper, we present two iterative algorithms for approximating a solution of the split feasibility problem on zeros of a sum of monotone operators and fixed points of a finite family of nonexpansive mappings.
Narin Petrot, Montira Suwannaprapa, Vahid Dadashi   +2 more
doaj   +1 more source

Adaptive Estimation for Weakly Dependent Functional Times Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro, Valentin Patilea, Myriam Vimond   +2 more
wiley   +1 more source

Inertial CQ Algorithm With Correction Terms for Split Feasibility Problems With Multiple Output Sets

Discrete Dynamics in Nature and Society
We propose a new CQ algorithm which combines the inertial technique and correction terms for solving the split feasibility problem with multiple output sets in Hilbert spaces. Under suitable conditions, we prove the weak convergence.
Yang Liu, Yazheng Dang, Kang Liu
doaj   +1 more source

Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm

Journal of Inequalities and Applications, 2018
The proximal gradient algorithm is an appealing approach in finding solutions of non-smooth composite optimization problems, which may only has weak convergence in the infinite-dimensional setting. In this paper, we introduce a modified proximal gradient
Yanni Guo, Wei Cui
doaj   +1 more source

Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency

Journal of Time Series Analysis, EarlyView.
ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley   +1 more source

Multistep Hybrid Iterations for Systems of Generalized Equilibria with Constraints of Several Problems

Abstract and Applied Analysis, 2014
We first introduce and analyze one multistep iterative algorithm by hybrid shrinking projection method for finding a solution of the system of generalized equilibria with constraints of several problems: the generalized mixed equilibrium problem ...
Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, Ching-Feng Wen   +3 more
doaj   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source