Článek v odborném periodiku Kárný M., Andrýsek J. : Use of Kullback–Leibler divergence for forgetting International Journal of Adaptive Control and Signal Proces, (2008), 1 (2009), pp. 1-15.

Kárný M., Andrýsek J. : Use of Kullback–Leibler divergence for forgetting International Journal of Adaptive Control and Signal Proces vo. 23, (2009), 1, pp. p. 1-15.

Kárný M., Andrýsek J., Bodini A., Guy T., Kracík J., Ruggeri : How to exploit external model of data for parameter estimation? International Journal of Adaptive Control and Signal Process 20, (2006), 1, pp. 41-50.

Konferenční příspěvek Andrýsek J. : On Identification of Probabilistic Mixture Models with Dynamic Weights. In: Proccedings of the 6th International PhD workshop on Systems and Control, Young Generation Viewpoint. Jozef Stefan Institute, Ljubljana 2005, pp. 6.

Andrýsek J.,Bodini A., Kárný M., Kracík J.,Ruggeri F. : On combining partial incompatible information: a proposal. In: Proceedings of the INFORMS conference on Group Decision Support and Negotiation., Vienna 2005, pp. .

Ettler P., Andrýsek J. : Mixing models to improve gauge prediction for cold rolling mills In: Preprints of the 12th IFAC Symposium on Automation in Mining, Mineral and Metal Processing Université Laval, Québec City, Canada, Québec City, Canada 2007, pp. 443-447.

Ettler P., Andrýsek J., Šmídl V., Kárný M. : Merging of advices from multiple advisory systems (with evaluation on rolling mill data) In: Fifth International Conference on Informatics in Control, Automation and Robotics ICINCO 2008 INSTICC, Madeira, Portugal 2008, pp. 66-71.

Šmídl V., Andrýsek J. : Distributed Bayesian Decision Making: Early Experiments. In: Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint., Praha 2006, pp. 245-255.

Šmídl V., Andrýsek J. : Merging of Multistep Predictors for Decentralized Adaptive Control In: Proceedings of the American Control Conference IEEE, Seattle 2008, pp. .

Konferenční sborník Šmídl V., Andrýsek J., Přikryl J. (Eds.): Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint. ÚTIA AV ČR, Praha 2006, 264 pp.

Interní tisk Kárný M., Andrýsek J., Bodini A., Guy T., Kracík J., Ruggeri : How to Exploit External Model of Data for Parameter Estimation. Interní publikace DAR - ÚTIA 2005/19. ÚTIA AV ČR, Praha 2005, 11 pp.

Výzkumná zpráva Andrýsek J., Ettler P. : Extension of Advisory System using theTheory of Multiple Participant Decision Making (Research report 2204) ÚTIA AV ČR, Praha 2007, pp.

Kárný M., Andrýsek J., Bodini A., Guy T., Kracík J., Nedoma : Fully probabilistic knowledge expression and incorporation (Research Report-Istituto di Matematica Applicata e Tecnologi 8-10MI) Istituto di Matematica Applicata e Tecnologie Informatiche, Milano 2008, pp.

Raftery A., Kárný M., Andrýsek J., Ettler P. : Online Prediction Under Model Uncertainty Via Dynamic Model Averaging: Application to a Cold Rolling Mill (Technical Report of the University of Washington 525) University of Washington, Seattle 2007, pp.

Šmídl V., Andrýsek J. : Distributed Bayesian Decision-Making: Further Experiments (Interní publikace DAR - ÚTIA 2007/16) ÚTIA AV ČR, Praha 2007, 18 pp.

Aplikace/Elektronický dokument Model Mixing for Long-Term Extrapolation: R-package and two data sets form a cold metal rolling mill. (Software)

Matlab framework for dynamic decision making under uncertainty Mixtools3000 (Software)