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Authors: Jan Kracík and Miroslav Kárný

Affiliation: Institute of Information Theory and Automation, Czech Republic

Keyword(s): Bayesian estimation, prior information, multiple-participant decision making.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Efficient multiple participant decision-making relies on cooperation of participants. Partially, it is reached by sharing knowledge. A specific but important case of this type is addressed here. Essentially, a participant passes to its partner distribution on common data and partner uses it for correcting its Bayesian parameter estimate.

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Paper citation in several formats:
Kracík, J. and Kárný, M. (2005). MERGING OF DATA KNOWLEDGE IN BAYESIAN ESTIMATION. In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 972-8865-31-7; ISSN 2184-2809, SciTePress, pages 229-232. DOI: 10.5220/0001174502290232

@conference{icinco05,
author={Jan Kracík. and Miroslav Kárný.},
title={MERGING OF DATA KNOWLEDGE IN BAYESIAN ESTIMATION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2005},
pages={229-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001174502290232},
isbn={972-8865-31-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - MERGING OF DATA KNOWLEDGE IN BAYESIAN ESTIMATION
SN - 972-8865-31-7
IS - 2184-2809
AU - Kracík, J.
AU - Kárný, M.
PY - 2005
SP - 229
EP - 232
DO - 10.5220/0001174502290232
PB - SciTePress