Image de couverture de livre

Green Finance and Carbon Emissions: A Nonlinear and Interaction Analysis Using Bayesian Additive Regression Trees

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Mengxiang, Rastelli, Riccardo
Format:	Preprint
Publié:	2025
Sujets:	Applications 62P20
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Bayesian Additive Regression Trees (BART) in Food Authenticity: A Classification Approach to Food Fraud Detection
par: Zhu, Mengxiang, et autres
Publié: (2025)

Penalized Sparse Covariance Regression with High Dimensional Covariates
par: Gao, Yuan, et autres
Publié: (2024)

Decentralized Finance and Local Public Goods: A Bayesian Maximum Entropy Model of School District Spending in the U.S
par: Melo, Juan
Publié: (2024)

Chinese vs. World Bank Development Projects: Insights from Earth Observation and Computer Vision on Wealth Gains in Africa, 2002-2013
par: Daoud, Adel, et autres
Publié: (2025)

Quantifying the Causal Effect of Financial Literacy Courses on Financial Health
par: Frees, Daniel, et autres
Publié: (2024)

Decomposing Crowd Wisdom: Domain-Specific Calibration Dynamics in Prediction Markets
par: Le, Nam Anh
Publié: (2026)

Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia
par: Koundouri, Phoebe, et autres
Publié: (2023)

Mortality Prediction using Survival Energy Models with Functional Data Analysis
par: Mitsuta, Daiki, et autres
Publié: (2024)

A sensitivity analysis for non-inferiority studies with non-randomised data
par: Kabata, Daijiro, et autres
Publié: (2025)

Identification and estimation of structural vector autoregressive models via LU decomposition
par: Shimokawa, Masato, et autres
Publié: (2025)

Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula
par: Csató, László
Publié: (2023)

One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data, using L1 norm methods
par: Chaya, Carolina, et autres
Publié: (2025)

Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
par: Dey, Debangan, et autres
Publié: (2026)

The impact of job stability on monetary poverty in Italy: causal small area estimation
par: Reluga, Katarzyna, et autres
Publié: (2025)

Estimating the Impact of the Bitcoin Halving on Its Price Using Synthetic Control
par: Virtonen, Vladislav
Publié: (2025)

Dynamical Survival Analysis for Modeling Hazard Functions with Nonlinear Systems
par: Liyanage, Dananjani, et autres
Publié: (2026)

Fundamental properties of linear factor models
par: Filipovic, Damir, et autres
Publié: (2024)

Financial resilience of agricultural and food production companies in Spain: A compositional cluster analysis of the impact of the Ukraine-Russia war (2021-2023)
par: Hernandez-Romero, Mike, et autres
Publié: (2025)

Bayesian estimation of the number of significant principal components for cultural data
par: Macdonald, Joshua C., et autres
Publié: (2024)

Dose Selection Balancing Efficacy and Toxicity Using Bayesian Model Averaging
par: Gould, A. Lawrence
Publié: (2023)

Quantile Treatment Effects in High Dimensional Panel Data
par: Xu, Yihong, et autres
Publié: (2025)

Application of Multivariate Selective Bandwidth Kernel Density Estimation for Data Correction
par: Bui, Hai, et autres
Publié: (2023)

Bayesian Synthetic Control with a Soft Simplex Constraint
par: Xu, Yihong, et autres
Publié: (2025)

A Decision Analysis Framework for High-fidelity and Low-fidelity Systems with Applications in Manufacturing Processes
par: Zhang, Fan, et autres
Publié: (2026)

Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
par: Dong, Jiayuan, et autres
Publié: (2022)

Bayesian feedback in the framework of ecological sciences
par: Figueira-Pereira, Mario, et autres
Publié: (2023)

Nonlinear Temperature Sensitivity of Residential Electricity Demand: Evidence from a Distributional Regression Approach
par: Nam, Kyungsik, et autres
Publié: (2025)

Inferring Soil Drydown Behaviour with Adaptive Bayesian Online Changepoint Analysis
par: Gong, Mengyi, et autres
Publié: (2025)

Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
par: Hwang, Youngdeok, et autres
Publié: (2021)

ZINBGT: Exploratory Data Analysis of Single-Cell Transcriptomic Expression Using Mixture Models
par: Kettlewell, Toby, et autres
Publié: (2026)

Bayesian Species Distribution Models using Hierarchical Decomposition Priors
par: Ferrari, Luisa, et autres
Publié: (2026)

Sparse Portfolio selection via Bayesian Multiple testing
par: Das, Sourish, et autres
Publié: (2017)

A Bayesian latent Gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall
par: Bhowmik, Sayan, et autres
Publié: (2025)

Explainable Machine Learning for Macroeconomic and Financial Nowcasting: A Decision-Grade Framework for Business and Policy
par: Attolico, Luca
Publié: (2025)

From Noisy News Sentiment Scores to Interpretable Temporal Dynamics: A Bayesian State-Space Model
par: Casals, Ian Carbó
Publié: (2026)

A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial
par: Chen, Xinyuan, et autres
Publié: (2022)

Predictions of damages from Atlantic tropical cyclones: a hierarchical Bayesian study on extremes
par: Dietz, Lindsey, et autres
Publié: (2022)

Bayesian Emulation of Grey-Box Multi-Model Ensembles Exploiting Known Interior Structure
par: Owen, Jonathan, et autres
Publié: (2024)

Why Empirical p-Values Are Not Uniform: Reference Samples, Dependence, and PIT Backtesting
par: Lis, Jakub
Publié: (2026)

Inference for multiple treatment effects using confounder importance learning
par: Papaspiliopoulos, Omiros, et autres
Publié: (2021)