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原文連結
論文資訊
- 類型：已發表論文
- 日期：2013-06-05
摘要
We characterize the 統計 bootstrap for the estimation of 資訊-theoretic quantities from data, with particular reference to its use in the study of large-scale 社會 phenomena. Our methods allow one to preserve, approximately, the underlying axiomatic relationships of 資訊 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 貝氏 estimators. We show how 資訊-theoretic quantities allow for rigorous empirical study of the decision-making capacities of rational 智能體s, and the time-asymmetric flows of 資訊 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
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