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National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Sdílení pravděpodobnostní informace bayesovských agentů
 Kalenkovich, Evgeny ; Kárný, Miroslav (advisor) ; Lachout, Petr (referee)
A need for combining probability distribution arises in many decision-theoretical problems. In this work we follow articles [14] and [15] in pursuing the supra Bayesian approach [9]. A method for combining nite discrete distributions is introduced, as well as a way to deal with incomplete information and bounded continuous distributions. In the discrete case our approach is along the lines of, but di erent at a few key points from the thesis [20]. The result is a shifted arithmetic mean of pmfs, which is discrepant from the usual arithmetic pooling (see [9] for details).
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Methodical Collection of Solved Examples from Probability Theory I
 Kalenkovich, Evgeny ; Dostál, Petr (advisor) ; Frcalová, Blažena (referee)
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Sdílení pravděpodobnostní informace bayesovských agentů
 Kalenkovich, Evgeny ; Kárný, Miroslav (advisor) ; Lachout, Petr (referee)
A need for combining probability distribution arises in many decision-theoretical problems. In this work we follow articles [14] and [15] in pursuing the supra Bayesian approach [9]. A method for combining nite discrete distributions is introduced, as well as a way to deal with incomplete information and bounded continuous distributions. In the discrete case our approach is along the lines of, but di erent at a few key points from the thesis [20]. The result is a shifted arithmetic mean of pmfs, which is discrepant from the usual arithmetic pooling (see [9] for details).
Detailed record
Methodical Collection of Solved Examples from Probability Theory I
 Kalenkovich, Evgeny ; Frcalová, Blažena (referee) ; Dostál, Petr (advisor)
Detailed record

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