Results 51 to 60 of about 10,357 (300)

Identification of Wiener Model with Internal Noise Using a Cubic Spline Approximation-Bayesian Composite Quantile Regression Algorithm

Complexity, 2020
A cubic spline approximation-Bayesian composite quantile regression algorithm is proposed to estimate parameters and structure of the Wiener model with internal noise.
Tianhong Pan, Wei Guo, Ying Song, Fujia Yin   +3 more
doaj   +1 more source

Innovation Pathways to Carbon Efficiency: Disentangling the Effects of AI, R&D, and Clean Energy Blessings on U.S. Environmental Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad, Jewel Rana, Mohammad Fakhrul Islam, Md Nazmul Islam Jihad, Md. Rashed, Md. Kamal Uddin   +5 more
wiley   +1 more source

Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley   +1 more source

A Bayesian Equal Part Regression Analysis of the Influencing Factors of Taiwanese People’s Regime Acceptance of Mainland China and U.S. Governments

Mathematics, 2019
This study utilized the newly-designed Bayesian equal part regression (BEPR) model to analyze the Taiwan National Security surveyed data from 2015 in order to construct a model of Taiwanese people’s regime acceptance of Mainland China and U.S ...
Shianghau Wu
doaj   +1 more source

Use of Bayesian, Lasso Binary Quantile Regression to Identify Suitable Habitat for Tiger Prey Species in Thap Lan National Park, Eastern Thailand

Environment and Natural Resources Journal, 2022
A Bayesian approach was used to develop binary quantile regression models featuring the lasso penalty. The models afford the advantages of all quantile regression models, such as robustness and detailed insights into covariate effects; they also handle ...
Paanwaris Paansri, Warong Suksavate, Aingorn Chaiyes, Prawatsart Chanteap, Prateep Duengkae   +4 more
doaj   +1 more source

Climate Stress Testing on European SME Securitised Loans Under Climate Mitigation Scenarios

Business Strategy and the Environment, EarlyView.
ABSTRACT Assessing the future impact of climate risks on the probability of default (PD) of small and medium enterprises (SMEs) is challenging due to limited disclosure, policy uncertainty and exposure to physical risks. This paper addresses this gap by integrating macroeconomic variables from the Network for Greening the Financial System (NGFS ...
Luca Zanin, Raffaella Calabrese
wiley   +1 more source

Bayesian bivariate quantile regression

Statistical Modelling, 2014
Quantile regression (QR) has become a widely used tool to study the impact of covariates on quantiles of a response distribution. QR provides a detailed description of the conditional response when considering a dense set of quantiles, without assuming a closed form for its distribution.
Waldmann, Elisabeth, Kneib, Thomas
openaire   +3 more sources

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

Business Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira, Carlos M. P. Sousa, Marco Esperança, Babak Taheri   +3 more
wiley   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models

Complexity, 2020
We propose a high-dimensional copula to model the dependence structure of the seemingly unrelated quantile regression. As the conventional model faces with the strong assumption of the multivariate normal distribution and the linear dependence structure,
Nachatchapong Kaewsompong, Paravee Maneejuk, Woraphon Yamaka   +2 more
doaj   +1 more source