Inference in stochastic information processing

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