The Directory of Open Access Journals
DOAJ Logotype
Open
Global
Trusted
Main actions
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Search
Menu
Secondary actions
Search
Journals
Articles
Documentation
API
OAI-PMH
Widgets
Public data dump
OpenURL
XML
Metadata help
Preservation
About
About DOAJ
DOAJ at 20
DOAJ team
Ambassadors
Advisory Board & Council
Editorial Policy Advisory Group
Volunteers
News
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Login
Login
Quick search
Close
×
Journals
Articles
Search by keywords:
In the field:
In all fields
Title
ISSN
Subject
Publisher
Country of publisher
Search
Frontiers in Astronomy and Space Sciences
(Mar 2023)
Editorial: Applications of statistical methods and machine learning in the space sciences
Bala Poduval,
Bala Poduval,
Karly M. Pitman,
Olga Verkhoglyadova,
Peter Wintoft
Affiliations
Bala Poduval
Space Science Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, United States
Bala Poduval
Space Science Institute, Boulder, CO, United States
Karly M. Pitman
Space Science Institute, Boulder, CO, United States
Olga Verkhoglyadova
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Peter Wintoft
Swedish Institute of Space Physics, Lund, Sweden
DOI
https://doi.org/10.3389/fspas.2023.1163530
Journal volume & issue
Vol. 10
Abstract
Read online
No abstracts available.
Keywords
machine learning
statistical methods
virtual conference
space science
astrophysics
space weather
WeChat QR code
Close