Results 91 to 100 of about 96,795 (287)
About predictions in spatial autoregressive models: Optimal and almost optimal strategies [PDF]
We address the problem of prediction in the classical spatial autoregressive lag model for areal data. In contrast with the spatial econometrics literature, the geostatistical literature has devoted much attention to prediction using the Best Linear ...
Goulard, Michel +2 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source
Distributed Parameter Estimation via Pseudo-likelihood [PDF]
, 2012 Estimating statistical models within sensor networks requires distributed algorithms, in which both data and computation are distributed across the nodes of the network.
Ihler, Alexander, Liu, Qiang
core +2 more sources
Predicting the dissolution kinetics of silicate glasses using machine learning
, 2017 Predicting the dissolution rates of silicate glasses in aqueous conditions is a complex task as the underlying mechanism(s) remain poorly understood and the dissolution kinetics can depend on a large number of intrinsic and extrinsic factors.
Bauchy, Mathieu +5 more
core +1 more source
Artificial Intelligence and Environmental, Social, and Governance: A Hybrid Bibliometric Approach
Business Strategy and the Environment, EarlyView.ABSTRACT This study provides a comprehensive overview of research on artificial intelligence (AI) and Environmental, Social, and Governance (ESG) by creating a knowledge map of the field. Using a systematic–bibliometric approach, we quantitatively analyzed a total of 129 documents, which collectively were cited 4276 times (2017–2024).
Qiang (John) Wu +3 more
wiley +1 more source
"Prediction in Multivariate Mixed Linear Models" [PDF]
The multivariate mixed linear model or multivariate components of variance model with equal replications is considered.The paper addresses the problem of predicting the sum of the regression mean and the random e ects.When the feasible best linear ...
M. S. Srivastava, Tatsuka Kubokawa
core
Investor Perception of ESG in Earnings Calls
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how the communicator's role and the framing of ESG statements affect investor capital allocation in the context of earnings calls. Based on a virtual asset market experiment, the analysis identifies that the assurance and reinforcement of ESG messages have a positive effect of up to 8% on capital allocation, with especially
Felix Bachner
wiley +1 more source
BMC Medical Research Methodology, 2008 Background The main objective of this paper is to compare different methods for predicting the levels of SO2 air pollution in oil and gas producing area of rural western Canada.
Kim Hyang-Mi +3 more
doaj +1 more source
Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]
, 2006 Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core +1 more source
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source