Chapter 9 - Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models Chapter uri icon

Overview

abstract

  • As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks ...

publication date

  • June 1, 2018

Date in CU Experts

  • June 4, 2021 4:42 AM

Full Author List

  • Camporeale E; Chandorkar M

Full Editor List

  • Camporeale E; Wing S; Johnson J

author count

  • 2

book title

  • Machine Learning Techniques for Space Weather

Other Profiles

International Standard Book Number (ISBN) 10

  • 0128117885

International Standard Book Number (ISBN) 13

  • 9780128117880

Additional Document Info

start page

  • 237

end page

  • 237