Results 111 to 120 of about 44,356 (305)

Infrastructure and the Path to Sustainability: How Governance Shapes Development Outcomes in Africa

Sustainable Development, EarlyView.
ABSTRACT Infrastructure development, as an SDGs objective, foster inclusive growth by improving access to transport, energy, and digital systems, enhancing productivity, connectivity, resilience, and sustainability while reducing inequalities and supporting environmental goals. This study examines the impact of infrastructure development on sustainable
Germain Stephane Ketchoua, Sodiq Arogundade, Santos Bila, Nomsa Phindile Nkosi   +3 more
wiley   +1 more source

Bayesian Quantile Regression for Ordinal Models

Bayesian Analysis, 2016
The paper introduces a Bayesian estimation method for quantile regression in univariate ordinal models. Two algorithms are presented that utilize the latent variable inferential framework of Albert and Chib (1993) and the normal-exponential mixture representation of the asymmetric Laplace distribution.
openaire   +4 more sources

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

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

Bayesian quantile regression: An application to the wage distribution in 1990s Britain [PDF]

This paper illustrates application of Bayesian inference to quantile regression. Bayesian inference regards unknown parameters as random variables, and we describe an MCMC algorithm to estimate the posterior densities of quantile regression parameters ...
Van Kerm, Philippe, Yu, Keming, Zhang, Jin   +2 more
core  

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

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

Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction

Big Data Mining and Analytics
The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. This work extends a method for the development of Quantile Convolutional and Quantile Recurrent Neural ...
Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin   +4 more
doaj   +1 more source

Spatial distribution of various forms of malnutrition among reproductive age women in Nepal: A Bayesian geoadditive quantile regression approach

, 2021
Umesh Ghimire, Richa Vatsa
openalex   +1 more source

Estimating spatiotemporal reproductive dynamics of fish populations with passive acoustic monitoring: A state‐space model approach

Methods in Ecology and Evolution, EarlyView.
Abstract Passive acoustic monitoring (PAM) has been used to estimate the presence and spatial distribution of target organisms using biological sounds received by microphones. Due to its cost‐effectiveness and non‐invasiveness, PAM is becoming a promising approach for studying the spatiotemporal dynamics of large groups in response to environmental ...
Keisuke Ota, Tomonari Akamatsu, Yutaka Osada, Michio Kondoh   +3 more
wiley   +1 more source