Results 71 to 80 of about 30,567 (245)

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

On the Impact of Climate Change Policies on the Clean Technology Innovation: Evidence from Patent Data Analysis

Environmental and Climate Technologies, 2023
This study investigates the role of environmental policies and regulations in mitigating climate change by promoting clean innovations and discouraging dirty ones.
Balcilar Mehmet, Agan Busra
doaj   +1 more source

Altered Cerebrospinal Fluid Tryptophan–Kynurenine Pathway Metabolism in Multiple System Atrophy

Movement Disorders, EarlyView.
Abstract Background Alterations in tryptophan–kynurenine (TRP‐KYN) metabolism, which is associated with neuroinflammation, remain unclear in multiple system atrophy (MSA). Objective The aim was to investigate cerebrospinal fluid (CSF) TRP metabolites in MSA and their associations with other biomarkers.
Ryunosuke Nagao, Kazuya Kawabata, Yasuaki Mizutani, Sayuri Shima, Akihiro Ueda, Mizuki Ito, Yasuhiro Maeda, Akihiro Mouri, Hirohisa Watanabe   +8 more
wiley   +1 more source

Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model

IEEE Access, 2020
With the rapid growth of photovoltaic (PV) power in recent years, the stability of system operation, the performance of system contingency analysis as well as the power quality of the power grid are threatened by the inherent uncertainty and fluctuation ...
Fei Mei, Jiaqi Gu, Jixiang Lu, Jinjun Lu, Jiatang Zhang, Yuhan Jiang, Tian Shi, Jianyong Zheng   +7 more
doaj   +1 more source

Economic Growth and Sustainable Development: The Role of Financial Inclusion, FinTech, Eco‐Innovation, and Economic Complexity

Sustainable Development, EarlyView.
ABSTRACT The study examines the nonlinear relationships between sustainable and financial development metrics, including eco‐innovation, process eco‐innovation, financial development, financial inclusion, FinTech, economic complexity, and economic growth, across eight developing countries from 2000 to 2023.
Xing Zhao, Sara Muhammadullah, Emad Kazemzadeh, Ioannis Kostakis, Sudeshna Ghosh, Buhari Doğan   +5 more
wiley   +1 more source

Estimation of nonparametric conditional moment models with possibly nonsmooth moments [PDF]

This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables.
Demian Pouzo, Xiaohong Chen
core   +3 more sources

Nonparametric Econometrics: The np Package

Journal of Statistical Software, 2008
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
doaj  

Spatial patterns of linear and nonparametric long-term trends in Baltic sea-level variability [PDF]

Nonlinear Processes in Geophysics, 2012
The study of long-term trends in tide gauge data is important for understanding the present and future risk of changes in sea-level variability for coastal zones, particularly with respect to the ongoing debate on climate change impacts.
R. V. Donner, R. Ehrcke, S. M. Barbosa, J. Wagner, J. F. Donges, J. Kurths   +5 more
doaj   +1 more source

Impact of Technological Innovation, Environmental Policy, and Policy Inclusion on Renewable Energy Adoption in Sub‐Sahara Africa

Thunderbird International Business Review, EarlyView.
ABSTRACT This study investigates the factors influencing renewable energy consumption and renewable electricity in Sub‐Sahara Africa (SSA) using the Lewbel 2SLS approach, panel quantile regression and Driscoll and Kraay estimator. It focuses on a panel dataset covering 41 countries from 1998 to 2020.
Emmanuel K. Manu, Simplice A. Asongu
wiley   +1 more source

Bootstrap-quantile ridge estimator for linear regression with applications.

PLoS ONE
Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square regression model for the ...
Irum Sajjad Dar, Sohail Chand
doaj   +1 more source