Subspace‐Based System Identification From Binary Measurements
ABSTRACT This paper is concerned with subspace identification from binary measurements for systems whose dynamical behavior can be splited into a deterministic and a stochastic subsystem. An identification algorithm is detailed. The main contribution of the proposed identification algorithm lies in the identification of both the deterministic subsystem
Alex Ali Mestrah +2 more
wiley +1 more source
Productivity and Emissions in Italian Agriculture: A Farm‐Level Efficiency Analysis
ABSTRACT Achieving the European Union climate‐neutrality objectives requires metrics that jointly assess farm productivity and greenhouse gas emissions at a granular level. However, harmonized evidence for benchmarking the productivity–emissions nexus of Italian farms remains limited.
Giulio Fusco +3 more
wiley +1 more source
Decarbonization in Financial Turbulent Times: Global Value Chains and Regulatory Framework
ABSTRACT This study examines how participation in global value chains (GVCs) influences carbon emissions amid financial turbulence, with attention to cross‐country heterogeneity and distributional dynamics. Although existing research has explored trade–environment linkages, limited attention has been given to how GVC integration interacts with ...
Xiaoyong Xu +4 more
wiley +1 more source
ABSTRACT The integration of environmental, social, and governance (ESG) factors into corporate business strategy has become progressively important, particularly for firms operating in high‐materiality industries where nonfinancial risks are more pronounced. This study examines the association between ESG performance and firm performance among European
Melinda Timea Fülöp +2 more
wiley +1 more source
A lumped modelling framework for the epoxidation of vegetable oils and fatty acid methyl esters
Abstract Epoxidized vegetable oils and fatty acid methyl esters are promising bio‐based alternatives to phthalates for plasticizer applications. Their synthesis typically involves the reaction of unsaturated double bonds with peracetic acid in a biphasic liquid–liquid system, where the simultaneous occurrence of reaction and phase partitioning makes ...
Irene Presti +3 more
wiley +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Moment inequalities for higher-order (inverse) stochastic dominance
Stochastic dominance has been studied extensively, particularly in the finance and economics literature. In this paper, we obtain two results. First, necessary conditions for higher-order inverse stochastic dominance are developed. These conditions, which involve moment inequalities of the minimum order statistics, are analogous to the ones obtained by
Meng Guan, Zhenfeng Zou, Taizhong Hu
openaire +2 more sources
Sifting through the noise: Universal first-order methods for stochastic variational inequalities.
We examine a flexible algorithmic framework for solving monotone variational inequalities in the presence of randomness and uncertainty. The proposed template encompasses a wide range of popular first-order methods, including dual averaging, dual extrapolation and optimistic gradient algorithms – both adaptive and non-adaptive. Our first result is that
Antonakopoulos, Kimon +4 more
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Corporate Social Responsibility and Firm Profitability in South Africa: An Industry‐Level Analysis
ABSTRACT This study examines the relationship between corporate social responsibility and profit on assets in South Africa using a panel dataset comprising 79 industries observed annually between 2017 and 2024. The study uses an industry‐level dataset which, unlike firm‐level inquiries, purges firm‐level noise and acknowledges the empirical regularity ...
Brian Tavonga Mazorodze
wiley +1 more source
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source

