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Entropy 2013, 15(6), 2246-2276; doi:10.3390/e15062246
Article

Bootstrap Methods for the Empirical Study of Decision-Making and Information Flows in Social Systems

1,* , 1,2
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Received: 15 March 2013; in revised form: 21 May 2013 / Accepted: 30 May 2013 / Published: 5 June 2013
(This article belongs to the Special Issue Estimating Information-Theoretic Quantities from Data)
Download PDF [461 KB, uploaded 5 June 2013]
Abstract: We characterize the statistical bootstrap for the estimation of informationtheoretic quantities from data, with particular reference to its use in the study of large-scale social phenomena. Our methods allow one to preserve, approximately, the underlying axiomatic relationships of information theory—in particular, consistency under arbitrary coarse-graining—that motivate use of these quantities in the first place, while providing reliability comparable to the state of the art for Bayesian estimators. We show how information-theoretic quantities allow for rigorous empirical study of the decision-making capacities of rational agents, and the time-asymmetric flows of information in distributed systems. We provide illustrative examples by reference to ongoing collaborative work on the semantic structure of the British Criminal Court system and the conflict dynamics of the contemporary Afghanistan insurgency.
Keywords: biological systems; cognition; social systems; information theory; statistical estimation; bootstrap; Bayesian estimation biological systems; cognition; social systems; information theory; statistical estimation; bootstrap; Bayesian estimation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

DeDeo, S.; Hawkins, R.X.D.; Klingenstein, S.; Hitchcock, T. Bootstrap Methods for the Empirical Study of Decision-Making and Information Flows in Social Systems. Entropy 2013, 15, 2246-2276.

AMA Style

DeDeo S, Hawkins RXD, Klingenstein S, Hitchcock T. Bootstrap Methods for the Empirical Study of Decision-Making and Information Flows in Social Systems. Entropy. 2013; 15(6):2246-2276.

Chicago/Turabian Style

DeDeo, Simon; Hawkins, Robert X.D.; Klingenstein, Sara; Hitchcock, Tim. 2013. "Bootstrap Methods for the Empirical Study of Decision-Making and Information Flows in Social Systems." Entropy 15, no. 6: 2246-2276.


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