Results 31 to 40 of about 86,877,734 (157)
Testing Distributional Granger Causality With Entropic Optimal Transport
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
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Animal Genetics, Volume 57, Issue 6, December 2026.ABSTRACT Generative adversarial networks (GANs) are artificial intelligence models designed to generate novel data that is indistinguishable from real data. Originally developed to generate images to complement existing datasets and create more diverse samples, GAN‐based data can enhance downstream analysis for machine learning and deep learning ...
Edgar Caballero Vargas, Tiago Bresolin
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On the Relationship Between Two CUSUM Charts
Quality and Reliability Engineering International, Volume 42, Issue 8, Page 5305-5310, December 2026.ABSTRACT The cumulative sum (CUSUM) chart is a fundamental tool in statistical process control (SPC) and sequential change‐point detection. Two closely related formulations appear in the literature: the standard CUSUM introduced by Page in 1954 and the CUSUM studied by Moustakides in 1986, the latter of which is shown to be exactly optimal under Lorden'
Jun Li, Yajun Mei
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Optimality and duality for nonsmooth minimax programming problems using convexifactor
, 2017 The aim of this work is to study optimality conditions for nonsmooth minimax programming problems involving locally Lipschitz functions by means of the idea of convexifactors that has been used in [J. Dutta, S.
Krishna Kummari +3 more
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A Note on Local Polynomial Regression for Time Series in Banach Spaces
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1124-1138, November 2026.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
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Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
Advanced Intelligent Systems, Volume 8, Issue 10, October 2026.A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
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, 2005 This paper provides a framework for deriving necessary conditions, in the form of a maximum principle, for minimax optimal control problems. The distinguishing feature of these problems is that the data depends on a vector a of unknown parameters, and ...
Vinter, RB, R. B. Vinter
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Engineering Reports, Volume 8, Issue 10, October 2026.This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa +7 more
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Optimality conditions and duality for generalized fractional minimax programming involving locally Lipschitz (b,Ψ,Φ,ρ) -univex functions [PDF]
, 2018 In this paper, we are concerned with optimality conditions and duality results of generalized fractional minimax programming problems. Sufficient optimality conditions are established for a class of nondifferentiable generalized fractional minimax ...
Mishra, S. K. +2 more
core
Statistics in Medicine, Volume 45, Issue 23-24, October 2026.ABSTRACT Large observational datasets, including those derived from electronic health records, are a valuable resource for medical research but are often affected by missingness, measurement error, and misclassification. Two‐phase sampling with generalized raking (GR) estimation is an efficient and robust approach to statistical inference in such ...
Jasper B. Yang +3 more
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