Results 131 to 140 of about 113,685 (321)

Ecological and Technological Insights to Enhance Rice Production: A Machine Learning Approach for Sustainable Agriculture in Granma, Cuba

Sustainable Development, EarlyView.
ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar, Zhi Chen, Sergio RodrIguez‐Rodríguez, Fariborz Haghighat, Chunjiang An, Roberto Alejandro García Reyes, Beatriz González‐Rosales   +6 more
wiley   +1 more source

Bayesian inference for CoVaR

, 2013
Recent financial disasters emphasised the need to investigate the consequence associated with the tail co-movements among institutions; episodes of contagion are frequently observed and increase the probability of large losses affecting market ...
Bernardi, Mauro, Gayraud, Ghislaine, Petrella, Lea   +2 more
core  

Assessing the Effects of Biodiesel Production on Sustainability: A Bayesian Two‐Stage Data Envelopment Analysis Approach

Sustainable Development, EarlyView.
ABSTRACT Sustainable development transforms production systems, requiring integrated environmental, social, and economic strategies. Energy systems are key agro‐industrial supply chains in developing countries. Brazil's soybean supply chain impacts Gross Domestic Product, mainly through exports.
Aline Veronese da Silva, Camila Veneo Campos Fonseca, Pedro Gerber Machado, Marcelo Azevedo Costa   +3 more
wiley   +1 more source

Modeling regional innovation in Egyptian governorates: Regional knowledge production function approach

Regional Science Policy &Practice, EarlyView., 2021
Abstract Knowledge and innovation have become a significant source of modern regional development. The paper aims to study the spatial association of innovation and model innovation, besides critiquing regional innovation policy, using the regional knowledge production function approach.
Mohamed Abouelhassan Ali
wiley   +1 more source

Advancing Sustainable Industrialization Under SDG 9: The Role of Financial Globalization and Income Inequality

Sustainable Development, EarlyView.
ABSTRACT This paper investigates how income inequality and financial globalization shape sustainable industrialization across 87 countries over 2000–2022, using the SDG 9 composite index as the outcome and the Method of Moments Quantile Regression (MMQR) to capture heterogeneous effects.
Özge Kozal, Daniel Balsalobre‐Lorente
wiley   +1 more source

Climate Crisis, Human Mobility and Security Challenges in the MENA Region: Implications for Sustainable Development and Regional Stability

Sustainable Development, EarlyView.
ABSTRACT This study examines the interplay between climate change, violent conflict and forced migration in the Middle East and North Africa (MENA), focusing on asylum flows to the European Union (EU). By integrating high‐resolution climate, conflict and socioeconomic data spanning 2000 to 2023, we develop a comprehensive empirical framework to ...
Shifa Mathbout, George Boustras, Pierantonios Papazoglou, Javier Martin‐Vide, Joan A. Lopez‐Bustins   +4 more
wiley   +1 more source

Development of optimized methods for unbiased dusky grouse population monitoring using real and simulated data

Wildlife Biology, EarlyView.
Rigorous state‐wide monitoring programs are lacking for dusky grouse Dendragapus obscurus, a North American species of forest grouse with relatively low detectability that is found in coniferous and mountainous areas in the western United States and Canada.
Elizabeth A. Leipold, Claire Gower, Lance B. McNew   +2 more
wiley   +1 more source

Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models

Mathematics
This paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model.
Weixian Wang, Maozai Tian
doaj   +1 more source

Should you use data integration for your distribution model?

Journal of Animal Ecology, EarlyView.
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein, Jeffrey W. Doser, Brent S. Pease, Krishna Pacifici   +3 more
wiley   +1 more source

On Bayesian quantile regression and outliers

, 2016
In this work we discuss the progress of Bayesian quantile regression models since their first proposal and we discuss the importance of all parameters involved in the inference process. Using a representation of the asymmetric Laplace distribution as a mixture of a normal and an exponential distribution, we discuss the relevance of the presence of a ...
Santos, Bruno, Bolfarine, Heleno
openaire   +2 more sources