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AUTHOR(S): Jelenka Savkovic-Stevanovic
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ABSTRACT In this paper stochastic information processing was studied. Inference method by conditional distribution was examined. The Bayesian decision analysis for unknown event was performed. Prior and poserior distribution functions were studied and applied to information definition about the system state. Frequency meaning and subject probability were considered. Contribution of this paper are information processing method by likelihood function and information processing in conflict resolution |
KEYWORDS Conflict, processing, conditional statement, inference, posterior distribution, likelihood |
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Cite this paper Jelenka Savkovic-Stevanovic. (2019) Inference in stochastic information processing. International Journal of Mathematical and Computational Methods, 4, 43-48 |
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