Optimal causal inference: Estimating stored information and approximating causal architecture
نویسندگان
چکیده
منابع مشابه
Optimal causal inference: estimating stored information and approximating causal architecture.
We introduce an approach to inferring the causal architecture of stochastic dynamical systems that extends rate-distortion theory to use causal shielding--a natural principle of learning. We study two distinct cases of causal inference: optimal causal filtering and optimal causal estimation. Filtering corresponds to the ideal case in which the probability distribution of measurement sequences i...
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ژورنال
عنوان ژورنال: Chaos: An Interdisciplinary Journal of Nonlinear Science
سال: 2010
ISSN: 1054-1500,1089-7682
DOI: 10.1063/1.3489885