Subject description - XP01NAM

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XP01NAM Random sets
Roles:  Extent of teaching:2+2
Department:13101 Language of teaching:
Guarantors:Helisová K. Completion:ZK
Lecturers:Helisová K. Credits:4
Tutors:Helisová K. Semester:L,Z

Web page:

http://math.feld.cvut.cz/helisova/01XP01NAM.html

Anotation:

Students get the basic overview on the theory of random sets, their probabilistic models, statistical analyses and applications.

Course outlines:

1. Introduction to random sets
2. Steiner formula
3. Boolean model
4. Contact distribution function, spatial correlation function
5. Shape characteristics
6. Random sets given by a density
7. Quermass-interaction process
8. MCMC simulations of random sets
9. Simulation-based inference
10. Maximum likelihood for random sets
11. Takacs-Fiksel method
12. Marked random sets
13. Digital image analysis
14. Applications of random sets

Exercises outline:

1. Introduction to random sets
2. Steiner formula
3. Boolean model
4. Contact distribution function, spatial correlation function
5. Shape characteristics
6. Random sets given by a density
7. Quermass-interaction process
8. MCMC simulations of random sets
9. Simulation-based inference
10. Maximum likelihood for random sets
11. Takacs-Fiksel method
12. Marked random sets
13. Digital image analysis
14. Applications of random sets

Literature:

1. Molchanov I. (2005): Theory of Random Sets. Springer Verlag, London.
2. Stoyan D., Kendall W.S., Mecke J. (1995): Stochastic Geometry and Its Applications. Wiley, Chichester.

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester


Page updated 28.4.2024 09:51:49, semester: Z/2023-4, Z/2024-5, L/2023-4, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)