Results 101 to 110 of about 9,896 (259)

Dynamic Impact of Income Inequality on Environmental Quality in Malaysia: Insights for Climate Action Using a Stochastic Impacts by Regression on Population, Affluence, and Technology Framework

Sustainable Development, EarlyView.
ABSTRACT This study explores the dynamic influence of income inequality on environmental quality in Malaysia and offers evidence‐based recommendations for climate action and policy. Using annual data from 1990 to 2022, the analysis utilizes the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework combined with ...
Masahina Sarabdeen, Ahmad Mohammadi, Rafia Afroz, Hawazen Zam Almugren   +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

Towards Green Transition: Role of Environmental Policy Stringency for Energy Transition in Realizing SDGs 7 and 13

Sustainable Development, EarlyView.
ABSTRACT Environmental sustainability has remained the main goal of the policy agenda in G7 economies, where the current priority of energy policy reforms is to minimize reliance on fossil fuels, which have significant environmental impacts, and to transition to cleaner energy sources.
Xintong Li, Nudrat Fatima, Magdalena Radulescu, Weimin Li, Daniel Balsalobre‐Lorente   +4 more
wiley   +1 more source

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov‐Arnold network and Bayesian optimization

Smart Molecules, EarlyView.
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang, Yujing Zhao, Peiyu Yi, Liyuan Duan, Qingwei Meng, Qilei Liu   +5 more
wiley   +1 more source

Bayesian Smoothed Quantile Regression

The standard asymmetric Laplace framework for Bayesian quantile regression (BQR) suffers from a fundamental decision-theoretic misalignment, yielding biased finite-sample estimates, and precludes gradient-based computation due to non-smoothness. We propose Bayesian smoothed quantile regression (BSQR), a principled framework built on a kernelsmoothed ...
Bingqi Liu, Kangqiang Li, Tianxiao Pang
openaire   +2 more sources

Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites

Wildlife Biology, EarlyView.
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer, Justin A. Rectenwald, William B. Lewis, Michael A. Hazelbaker, Alexander L. Jackson, Holly K. Lott, Geoff Beane, D. Clay Sisson, Melanie R. Kunkel, Nicole M. Nemeth, James A. Martin   +10 more
wiley   +1 more source

Bayesian Quantile Regression with Adaptive Elastic Net Penalty for Longitudinal Data

پژوهش‌های ریاضی, 2015
Longitudinal studies include the important parts of epidemiological surveys, clinical trials and social studies. In longitudinal studies, measurement of the responses is conducted repeatedly through time.
A Aghamohammadi, S Mohammadi
doaj  

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

Quantile‐Dependent Volatility Interconnectedness Between Commodity Markets, Oil Price Uncertainty, and Global Supply Chain Pressure

Australian Economic Papers, EarlyView.
ABSTRACT This study examines volatility interconnectedness among selected agricultural commodities and precious/industrial metals, together with oil price uncertainty and global supply chain pressure, over the period January 1998 to June 2024 using a Quantile‐on‐Quantile connectedness framework.
Muhammed Benli, Halil Altıntaş
wiley   +1 more source

The effect of nearby listings on house sale prices in Sydney: A spatio‐temporal regularization approach

Real Estate Economics, EarlyView.
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley   +1 more source