Results 221 to 230 of about 72,454 (299)

Unveiling Stock Market Trends by Deep Learning Insights With Correction Factor and Recurrent Neural Networks

open access: yesExpert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Understanding financial behaviour, particularly in the stock market, has attracted significant interest in recent years due to advancements in artificial intelligence and its impact on the global economy. The field of stock market prediction, which explores the interaction between finance and computer science to create predictive models, aims ...
Jair O. González   +4 more
wiley   +1 more source

Change Point Analysis for Functional Data Using Empirical Characteristic Functionals

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 612-631, May 2026.
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

Tensor Changepoint Detection and Eigenbootstrap

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 557-578, May 2026.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta   +2 more
wiley   +1 more source

Nonparametric Detection of a Time‐Varying Mean

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 597-611, May 2026.
ABSTRACT We propose a nonparametric portmanteau test for detecting changes in the unconditional mean of a univariate time series which may display either long or short memory. Our approach is designed to have power against, among other things, cases where the mean component of the series displays abrupt level shifts, deterministic trending behaviour ...
Fabrizio Iacone, A. M. Robert Taylor
wiley   +1 more source

Covalent Organic Framework–Carbon Nanotube Core–Shell Nanohybrids for Enhanced Catalytic Site Utilization of Molecular Catalysts in CO2 Electroreduction

open access: yesAngewandte Chemie, Volume 138, Issue 18, 27 April 2026.
Covalent organic framework–carbon nanotube (COF–CNT) core–shell nanohybrids are developed as an efficient platform to enhance the site utilization of molecular catalysts for electrochemical CO2 reduction. The well‐defined nanostructure promotes catalytic site accessibility, achieving CO turnover frequencies among the highest reported to date.
Liang Yao   +8 more
wiley   +2 more sources

Stochastic Optimization of Non‐Convex Component Solution Spaces

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 8, 30 April 2026.
ABSTRACT In systems engineering, solution spaces provide a practical way to reconcile competing goals by working with sets of good designs instead of point‐based solutions. Earlier contributions, however, were restricted either by limiting the dimensionality per component or, more recently, by constraining these spaces to be convex, which can, in some ...
Eduardo Rodrigues Della Noce   +1 more
wiley   +1 more source

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