Reference : Breakthrough of directional statistics in space science
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Physical, chemical, mathematical & earth Sciences : Mathematics
Physical, chemical, mathematical & earth Sciences : Space science, astronomy & astrophysics
http://hdl.handle.net/10993/54333
Breakthrough of directional statistics in space science
English
Palmirotta, Guendalina mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH) >]
24-Jan-2023
No
Yes
International
Luxembourg-Waseda Conference on Modelling and Inference for Complex Data
from 23-01-2023 to 25-01-2023
University of Luxembourg
Belval
Luxembourg
[en] It should be no surprise that already back in the 17-18th centuries important foundations of modern statistical theory were formulated to address astronomical problems, the astronomers were the statisticians. For instance the 'almost coincidence' in the orbits of the planets in our Solar System with the ecliptic has intrigued the scientists for a long time. Even D. Bernoulli (in the 1730's) wondered if this fact could happen 'by chance'. In a statistical framework, one could think of using a uniformity test on the sphere. Testing isotropy or, equivalently, testing uniformity on the unit hypersphere is one of the oldest as well as most fundamental problems in directional statistics and it is still much considered nowadays.
Furthermore with the increasing astronomical data, innovative modern directional statistical theories and models have been proposed to deal with space science issues such as tracking space objects.
In this talk, we will provide a review of the many old and recent developments of directional statistics animated by interesting applications in space science. This is a joint work with Christophe Ley.
Researchers
http://hdl.handle.net/10993/54333
https://math.uni.lu/midas/conferences/waseda2023/
https://www.youtube.com/watch?v=vLfqqt6ME8c

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
UniluWaseda2023_Palmirotta.pdfPublisher postprint11.73 MBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.