Efficient Bayesian Learning in Social Networks with Gaussian Estimators

3 Feb 2010Elchanan MosselNoah OlsmanOmer Tamuz

We consider a group of Bayesian agents who try to estimate a state of the world $\theta$ through interaction on a social network. Each agent $v$ initially receives a private measurement of $\theta$: a number $S_v$ picked from a Gaussian distribution with mean $\theta$ and standard deviation one... (read more)

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