论文信息 - Consensus in distributed estimation with inconsistent beliefs

Consensus in distributed estimation with inconsistent beliefs

Two agents sequentially revise and exchange their estimates of the same random variable. The agents are Bayesian and may have different models of the underlying probability structure. It is shown that either the two sets of estimates will converge to the same value or the agents will realize that their beliefs are inconsistent.

Pravin Varaiya | Demosthenis Teneketzis

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