A differential geometric approach to time series forecasting

DOI10.1016/j.amc.2021.126150OpenAlexW3135467630WikidataQ115361122 ScholiaQ115361122MaRDI QIDQ2242786

Babak Emami

Publication date: 10 November 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2021.126150

zbMATH Keywords

forecastmanifoldstime seriesgeodesic

Mathematics Subject Classification ID

Statistics (62-XX) Artificial intelligence (68Txx) Statistical decision theory (62Cxx)

Uses Software

• ElemStatLearn

Cites Work

• A family of embedded Runge-Kutta formulae
• Topology and data
• Automatic Selection of Methods for Solving Stiff and Nonstiff Systems of Ordinary Differential Equations
• Topological Approaches to Deep Learning
• Statistical topological data analysis using persistence landscapes
• An introduction to the adjoint approach to design
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