Results 321 to 330 of about 3,477,506 (374)

Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis

, 2021
Despite the importance of energy efficiency (EE) in promoting economic growth (EG), the empirical evidence about the growth effect of EE is quite thin.
R. Akram, Fuzhong Chen, Fahad Khalid, Guanhua Huang, M. Irfan   +4 more
semanticscholar   +1 more source

On the Unit-Chen distribution with associated quantile regression and applications

Mathematica Slovaca, 2022
In this paper, a new distribution defined on (0, 1) is introduced. It is obtained by the transformation of a positive random variable following the Chen distribution with respect to the inverted exponential function.
M. C. Korkmaz, E. Altun, C. Chesneau, H. Yousof   +3 more
semanticscholar   +1 more source

How does technological innovation mitigate CO2 emissions in OECD countries? Heterogeneous analysis using panel quantile regression.

Journal of Environmental Management, 2020
To verify how does the development of technological innovation effectively mitigate carbon dioxide (CO2) emissions in Organization for Economic Co-operation and Development (OECD) countries, this study first investigates the direct impacts and moderating
Cheng Cheng, Xiaohang Ren, Kangyin Dong, Xiucheng Dong, Zhen Wang   +4 more
semanticscholar   +1 more source

Robust regression quantiles

Journal of Statistical Planning and Inference, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adrover, Jorge, Maronna, Ricardo A., Yohai, Víctor J.   +2 more
openaire   +1 more source

Recent scenario and nexus of globalization to CO2 emissions: Evidence from wavelet and Quantile on Quantile Regression approach.

Environmental Research, 2022
The ubiquitous increase in globalization and high carbon emissions, aiming to achieve non-zero emissions in the future, is a feasible challenge for a sustainable environment.
Chunhui Huo, J. Hameed, Arshian Sharif, G. Albasher, Ohoud Alamri, Nouf Alsultan, Noorie Baig   +6 more
semanticscholar   +1 more source

Quantile Regression for Distributional Reward Models in RLHF

arXiv.org
Reinforcement learning from human feedback (RLHF) has become a key method for aligning large language models (LLMs) with human preferences through the use of reward models.
Nicolai Dorka
semanticscholar   +1 more source

Nonstandard Quantile-Regression Inference

SSRN Electronic Journal, 2005
It is well known that conventional Wald-type inference in the context of quantile regression is complicated by the need to construct estimates of the conditional densities of the response variables at the quantile of interest. This note explores the possibility of circumventing the need to construct conditional density estimates in this context with ...
Goh, S. C., Knight, K.
openaire   +1 more source

FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates

IEEE Transactions on Smart Grid, 2022
The increased penetration of Renewable Energy Sources (RES) as part of a decentralized and distributed power system makes net-load forecasting a critical component in the planning and operation of power systems.
A. Faustine, Lucas Pereira
semanticscholar   +1 more source

Optimal subsampling for large-scale quantile regression

Journal of Complexity, 2021
To deal with massive data sets, subsampling is known as an effective method which can significantly reduce computational costs in estimating model parameters.
Mingyao Ai, Fei Wang, Jun Yu, Huiming Zhang   +3 more
semanticscholar   +1 more source

Regularized quantile regression averaging for probabilistic electricity price forecasting

Energy Economics, 2021
Quantile Regression Averaging (QRA) has sparked interest in the electricity price forecasting community after its unprecedented success in the Global Energy Forecasting Competition 2014, where the top two winning teams in the price track used variants of
Bartosz Uniejewski, R. Weron
semanticscholar   +1 more source