Results 201 to 210 of about 2,329,699 (248)

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

Advancing Environmental Sustainability Through Wind Energy, Green Technology, and Fintech: A Quantile Perspective From Germany's Low‐Carbon Transition

Geological Journal, EarlyView.
The current study examines the role of Fintech, wind energy, and green technology in determining environmental suitability in Germany from 2000 to 2024. The study employs time series econometric methods to estimate the QQR and QR techniques. The positive effects of wind production, FinTech, Natural Resources and green technology on environmental ...
Hind Alofaysan, Kamel Si Mohammed
wiley   +1 more source

The Energy Dilemma: Does Energy Security Risk and Renewable Energy Affect Fossil Material Footprint? Policy Framework for Securing SDGs

Geological Journal, EarlyView.
Energy security risk has a positive impact on material footprint. Renewable energy consumption reduces material footprint. ABSTRACT Following a high economic growth path, the group of G7 economies is found to be utilising more and more material, causing a material footprint (MF), which in turn contributes to pollution.
Serhat Çamkaya, Faiza Saleem, Afshan Hamid, Magdalena Radulescu, Ahsan Anwar   +4 more
wiley   +1 more source

Early Feasibility of Registration of Micro‐PET/CT Scans to Annotated 3D Specimen Models

Head &Neck, EarlyView.
ABSTRACT Background Intraoperative 18F‐fluorodeoxyglucose (18F‐FDG) micro‐positron emission tomography/computed tomography (micro‐PET/CT) is an emerging modality for margin assessment. Prior to clinical use, micro‐PET/CT margin distances must be correlated with gold‐standard histopathology.
Joaquin Austerlitz, Andreja Radevic, Ashtyn McAdoo, Kyrionna Golliday, Cheng Ye, Daniel Fabbri, Adam J. Rosenberg, Marcus Balanky, Anas Alabkaa, Kim A. Ely, Mitra Mehrad, Spencer Roark, Eben Rosenthal, Michael C. Topf   +13 more
wiley   +1 more source

The Circulating Cholangiocarcinoma Protein Biomarkers CRP and MASP2 Also Predict Gallbladder Cancer Risk

International Journal of Cancer, EarlyView.
ABSTRACT In a recent publication, Lapitz et al. reported differences in serum levels that predict the development of cholangiocarcinoma (CCA) in patients with primary sclerosing cholangitis prior to clinical manifestation. We examined whether these biomarkers also predict the risk of gallbladder cancer (GBC) in European prospective plasma samples from ...
Linda Zollner, Jeroen Krijgsveld, Dominique Scherer, Justo Lorenzo Bermejo, on behalf of the EULAT Eradicate GBC Consortium   +4 more
wiley   +1 more source

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Canonical quantile regression

Journal of Multivariate Analysis, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Quantile Regression

2014
A guide to the implementation and interpretation of Quantile Regression models. This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues ...
Davino, Cristina, Furno, Marilena, Vistoccco, Domenico   +2 more
openaire   +5 more sources

Envelope Quantile Regression

Statistica Sinica, 2020
Summary: The quantile regression method is a valuable complement to the classical mean regression, helping to ensure robust and comprehensive data analyses in a variety of applications. We propose a novel envelope quantile regression (EQR) method that adapts a nascent technique called enveloping to improve the efficiency of the standard quantile ...
Ding, Shanshan, Su, Zhihua, Zhu, Guangyu, Wang, Lan   +3 more
openaire   +3 more sources