Bayesian spatio-temporal modelling of child anemia in Ethiopia using conditional autoregressive model. [PDF]
Tessema ZT +3 more
europepmc +1 more source
ABSTRACT As climate change and environmental deterioration continue to escalate due to substantial CO2 emissions, nations worldwide are implementing approaches to alleviate CO2 emissions and accomplish carbon neutrality (CNE) goals. The current study examined CNE objectives for five selected nations in Africa, spanning from 1990 to 2022.
John Wiredu +4 more
wiley +1 more source
GMM estimation of the autoregressiveparameter in a spatial autoregressive errormodel using regression residuals [PDF]
This paper suggests an improved GMM estimator for the autoregressive parameter of a spatial autoregressive error model by taking into account that unobservable regression disturbances are di.erent from observable regression residuals.
Arnold, Matthias
core
A log linear Poisson autoregressive model to understand COVID-19 dynamics in Saudi Arabia. [PDF]
Alzahrani SM.
europepmc +1 more source
ABSTRACT The circular economy (CE) has become a major focus in energy and environmental (E&E) research, as it helps advance sustainable development, improve resource efficiency and alleviate environmental pressure. Even so, the literature is still fragmented, particularly in the CE themes it explores, the levels of analysis it adopts and the methods ...
Jahira Debbarma +2 more
wiley +1 more source
Retracted: Empirical Study on the Relationship between Agricultural Economic Structure Growth and Environmental Pollution Based on Time-Varying Parameter Vector Autoregressive Model. [PDF]
Environmental And Public Health JO.
europepmc +1 more source
Application of dynamic modelling and model‐based predictive control to enhance a cooling tower
Model predictive control (MPC) applied to improve the operation of cooling towers. Abstract Model predictive control (MPC) differs from traditional feedback control by making predictions within a time horizon, providing better control actions for the process.
Douglas de Almeida Giardini +4 more
wiley +1 more source
Autoregressive distributed lag models and cointegration [PDF]
This paper considers cointegration analysis within an autoregressive distributed lag (ADL) framework. First, different reparameterizations and interpretations are reviewed.
Hassler, Uwe, Wolters, Jürgen
core
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates. [PDF]
Congdon P.
europepmc +1 more source
Nonlinear permuted Granger causality
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source

