Statistical Information Theory
Tid: To 2018-01-18 kl 09.15
Plats: Room 32 and 33, House 5, Kräftriket, Department of Mathematics, Stockholm University
Medverkande: Joanna Tyrcha and Chun-Biu Li
The course aims at introducing the fundamental concepts in information theory, their relationship and their contemporary applications in statistics, machine learning, time series analysis, dynamical system, physics, etc. Topics that will be covered in the course include basic concepts of information theory, entropy rates of stochastic process, differential entropy, information flow & causal detection, statistical learning, rate distortion theory, information bottleneck, multivariate dependence and multi-information, etc.
We would like to encourage students who are interested to check out the details in the moodle course page: kurser.math.su.se/enrol/index.php?id=649
The course schedule can be found here:
se.timeedit.net/web/su/db1/stud1/ri151XQQ023Z50Qv77063gZ6y2Y7607Q5Y64Y5.html