Publications

Basic Publications

Basic publications of AS Department related to Bayesian theory are:

Bayesian approach to system identification by V. Peterka
Recursive Nonlinear Estimation. A Geometric Approach, Springer (London 1996) by R. Kulhavý
Dealing with Complexity. A Neural Networks Approach, Springer, (Berlin 1997) by M. Kárný, K. Warwick K., V. Kůrková
Digital Self-tuning Controllers by V. Bobál, J. Böhm, J. Macháček, J. Fessl
Optimized Bayesian Dynamic Advising: Theory and Algorithms by M. Kárný et al.
The Variational Bayes Method in Signal Processing by V. Šmídl and A. Quinn
Decision Making with Imperfect Decision Makers, by T.V. Guy, M. Kárný, D.H. Wolpert, Springer, 2012.

Scanned versions of documents that are hard to find but well worth reading.

Presentations in *.ppt and *.pdf formats from AS seminars, CSKI seminars and other events.

Personal publications of members of the department can be found on their personal webpages.

2015-03-25 11:01