SUBJECT
Title
Astrostatistics 1-2
Type of instruction
lecture
Level
master
Faculty
Part of degree program
Credits
2+2
Recommended in
Semesters 1-4
Typically offered in
Autumn/Spring semester
Course description
Fundamental principles and results of broad ields of staisics applicable to astronomical research. The material is roughly at a level of advanced undergraduate courses in staisics.
Semester 1: Probability; Staisical inference; Probability distribuion funcions; Nonparametric staisics; Data Smoothing;
Semester 2: Regression; Mulivariate analysis; Clustering, classiicaion; Censored and truncated data; Time series analysis; Spaial point processes;
Readings
- Eric D. Feigelson and Jogesh H. Babu: Modern Staisical Methods for Astronomy With Applicaions, Cambridge, University Press
- Kartunen et al.: Fundamental Astronomy. 5Th ed., Springer, 2003, ISBN 978-3-540-34143-7
- Freedman and Kaufmann: Universe. 8th ed., W. H. Freeman Publ., 2007, ISBN: 978-0716785842