Results 81 to 90 of about 28,836 (304)

Decarbonization in Financial Turbulent Times: Global Value Chains and Regulatory Framework

Business Strategy and the Environment, EarlyView.
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, Lu Zhang, Kingsley Imandojemu, Felix Orole, Romanus Osabohien   +4 more
wiley   +1 more source

DAUD: A data driven algorithm to find discrete approximations of unknown continuous distributions

SoftwareX
Discrete approximation of continuous probability distributions is applied in solving large-scale intractable stochastic models in engineering, business and economics.
Atiq W. Siddiqui, Manish Verma, Syed Arshad Raza   +2 more
doaj   +1 more source

Risk premiums and certainty equivalents of loss-averse newsvendors of bounded utility

Journal of Industrial Engineering International, 2019
Loss-averse behavior makes the newsvendors avoid the losses more than seeking the probable gains as the losses have more psychological impact on the newsvendor than the gains. In economics and decision theory, the classical newsvendor models treat losses
Doraid Dalalah
doaj   +1 more source

Clathrate hydrate crystallization

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Clathrate hydrate crystallization has been an area of interest to chemical engineers from the point of view of crystal structure, thermophysical properties, phase equilibria, kinetics, industrial applications, and environmental (climate change) implications.
Peter Englezos
wiley   +1 more source

AN APPLICATION OF GREY MODEL IN MODELLING SOCIO-ECONOMIC VARIABLES WITH LIMITED DATA IN NORTH KALIMANTAN

E-Jurnal Matematika
New administrative regions often face a severe data scarcity precludes the use of conventional econometric models and data-intensive machine learning techniques.
RAY SASTRI, ARBI SETIYAWAN
doaj   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison [PDF]

In this paper we show that fully likelihood-based estimation and comparison of multivariate stochastic volatility (SV) models can be easily performed via a freely available Bayesian software called WinBUGS.
Jun Yu, Renate Meyer
core  

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders

Frontiers in Public Health
IntroductionThe rapid advancement of Artificial Intelligence (AI)-driven recommendation systems in healthcare presents significant economic implications, particularly in the context of neurological disorders.
Jing Zhang, Shihui Xiang, Li Li
doaj   +1 more source

Innovation and Growth Investment Through Capital Expenditure as a Channel and Boundary Condition Between Financial Performance and Corporate Reputation

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the role of capital expenditure in the relationship between financial performance and corporate reputation. Using moderation and mediation analyses based on multiple regressions with bootstrapping, we examined data from 121 airlines from 46 countries during 2007–2023.
Larissa M. Batrancea, Andreas‐Daniel Cocis, Ioan Dan Morar   +2 more
wiley   +1 more source