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Course, academic year 2023/2024
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Statistical Information Theory - NSTP150
Title: Statistická teorie informace
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2011
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Martin Janžura, CSc.
Class: Teorie pravděpodobnosti
Classification: Mathematics > Probability and Statistics
Annotation -
Last update: T_KPMS (23.05.2001)
Entropy in statistics. Limit theorems.
Aim of the course -
Last update: G_M (02.06.2008)

To explain the relevance of concepts and methods of information theory for mathematical statistics.

Literature - Czech
Last update: G_M (02.06.2008)

T.M.Cover, J.A.Thomas : Elements of Information Theory

I.Csiszár, J.Korner: Information Theory

F.Liese, I.Vajda: Convex Statistical Distances

Teaching methods -
Last update: G_M (27.05.2008)

Lecture.

Syllabus -
Last update: T_KPMS (14.05.2003)

Entropy in statistics. Limit theorems.

 
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