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Journal ArticleDOI

Reaching a Consensus

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TLDR
In this article, the authors consider a group of individuals who must act together as a team or committee, and assume that each individual in the group has his own subjective probability distribution for the unknown value of some parameter.
Abstract
Consider a group of individuals who must act together as a team or committee, and suppose that each individual in the group has his own subjective probability distribution for the unknown value of some parameter. A model is presented which describes how the group might reach agreement on a common subjective probability distribution for the parameter by pooling their individual opinions. The process leading to the consensus is explicitly described and the common distribution that is reached is explicitly determined. The model can also be applied to problems of reaching a consensus when the opinion of each member of the group is represented simply as a point estimate of the parameter rather than as a probability distribution.

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Citations
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Journal ArticleDOI

Network studies of social influence

TL;DR: In this article, the authors compare two empirical accounts of social influence (structural cohesion and equivalence) and describe the social processes (e.g., identification, competition, and authority) presumed to undergird them.

Distributed Control of Robotic Networks

TL;DR: This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.
Journal ArticleDOI

Statistical Methods for Eliciting Probability Distributions

TL;DR: Elicitation is a key task for subjectivist Bayesians as mentioned in this paper, and it brings statisticians closer to their clients and subject-matter expert colleagues, and thus brings them closer to themselves.
Proceedings ArticleDOI

Stability of continuous-time distributed consensus algorithms

Luc Moreau
TL;DR: In this article, the stability properties of linear time-varying systems in continuous time with zero row sums were studied and sufficient conditions for uniform exponential stability of the equilibrium set were presented.
Journal ArticleDOI

Networks beyond pairwise interactions: Structure and dynamics

TL;DR: A complete overview of the emerging field of networks beyond pairwise interactions, and focuses on novel emergent phenomena characterizing landmark dynamical processes, such as diffusion, spreading, synchronization and games, when extended beyond Pairwise interactions.
References
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Book

Stochastic processes

J. L. Doob, +1 more
Book

A first course in stochastic processes

TL;DR: In this paper, the Basic Limit Theorem of Markov Chains and its applications are discussed and examples of continuous time Markov chains are presented. But they do not cover the application of continuous-time Markov chain in matrix analysis.
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