Application of Cartesian-Normal Markov Chains to Problems in Forensic Ontology
Author: Mr. Jack Manganese, University of [illegible], Department of Statistical-Philosophy
Publication Date: 2013-Jan-12
The burgeoning field of forensic ontology suffers from a number of serious shortcomings, most notably the extreme difficulty in detecting even trace amounts of non-existent and semi-existent evidence. This paper discusses a computationally efficient method to epistemologically extrapolate the most probable phenomena at any level of existence, including imaginary, post-extant, pre-extant, semi-extant, fully extant, and negatively extant objects. An elementary and explicit theoretical analysis of this procedure will be given, followed by examples of the method in practical use.
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page revision: 12, last edited: 19 Jun 2016 00:04