Forecasts of thermal coal prices through Gaussian process regressions

B Jin, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
Given thermal coal's significance as a tactical energy source, price projections for the
commodity are crucial for investors and decision-makers alike. The goal of the current work …

Forecasts of coking coal futures price indices through gaussian process regressions

B Jin, X Xu - Mineral Economics, 2024 - Springer
For both investors and decision-makers, coking coal price estimates are essential due to the
commodity's importance as a tactical energy source. The present work uses a data-set of …

Machine learning price index forecasts of flat steel products

B Jin, X Xu - Mineral Economics, 2024 - Springer
Investors and authorities have always placed a high emphasis on commodity price
forecasting. In this study, the issue of daily price index forecasting for flat steel products on …

Regional steel price index predictions for North China through machine learning

B Jin, X Xu - International Journal of Mining and Mineral …, 2024 - inderscienceonline.com
Projections of commodity prices have long been heavily relied upon by investors and the
government. This study examines the challenging task of estimating the daily regional steel …

Regional steel price index predictions for the southwest Chinese market through machine learning

B Jin, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
Commodity price forecasts have long been a major source of reliance for both investors and
governments. This study analyses the difficult task of projecting regional steel price indices …

Machine learning predictions of regional steel price indices for east China

B Jin, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
From 1 January 2010 to 15 April 2021, this study examines the challenging task of daily
regional steel price index forecasting in the east Chinese market. We train our models using …

Steel price index forecasts through machine learning for Northwest China

B Jin, X Xu - Mineral Economics, 2024 - Springer
Commodity price projections have long been relied upon by investors and governments in
general. This study examines the complex issue of predicting steel price indices reported …

Robust recursive widely linear adaptive filtering algorithm for censored regression

G Qian, L Shen, Y Guan, J Qian, S Wang - Signal Processing, 2025 - Elsevier
In numerous engineering applications, handling censored data is a major challenge.
Conventional data processing methods often lead to a significant bias and notable decline …

The Gaussian process Hilbert transform (GP-HT): Testing the consistency of electrochemical impedance spectroscopy data

F Ciucci - Journal of the Electrochemical Society, 2020 - iopscience.iop.org
Electrochemical impedance spectroscopy (EIS) is an experimental technique that is
frequently used in electrochemistry. While measuring EIS spectra is relatively simple, the …

Gaussian process deconvolution

F Tobar, A Robert, JF Silva - Proceedings of the Royal …, 2023 - royalsocietypublishing.org
Let us consider the deconvolution problem, ie to recover a latent source x (⋅) from the
observations y=[y 1,…, y N] of a convolution process y= x⋆ h+ η, where η is an additive …