Modelling and forecasting based on recursive incomplete pseudoinverse matrices

DOI10.1016/j.matcom.2022.02.020OpenAlexW4213228601WikidataQ114149904 ScholiaQ114149904MaRDI QIDQ2139889

Christos K. Filelis-Papadopoulos, Panagiotis E. Kyziropoulos, John P. Morrison, Philip O`Reilly

Publication date: 19 May 2022

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2022.02.020

zbMATH Keywords

modellingfrequency estimationforecastingincomplete pseudoinverse matrix

Mathematics Subject Classification ID

Numerical analysis (65-XX) Computer science (68-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Greedy function approximation: A gradient boosting machine.
• Bagging predictors
• Forecasting Sales by Exponentially Weighted Moving Averages
• Stacked regressions
• Re-visiting the echo state property
• Linear Inversion of Band-Limited Reflection Seismograms
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• A fast efficient technique for the estimation of frequency
• Incomplete inverse matrices

This page was built for publication: Modelling and forecasting based on recursive incomplete pseudoinverse matrices