Implementation and application of the fundamental theorem of probability

Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.

Bibliographic Details
Main Author: Cohen, Jeremy S. (Jeremy Stein), 1975-
Other Authors: Robert Freund and Gordon Kaufman.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46277
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author Cohen, Jeremy S. (Jeremy Stein), 1975-
author2 Robert Freund and Gordon Kaufman.
author_facet Robert Freund and Gordon Kaufman.
Cohen, Jeremy S. (Jeremy Stein), 1975-
author_sort Cohen, Jeremy S. (Jeremy Stein), 1975-
collection MIT
description Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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spelling mit-1721.1/462772019-04-10T17:59:35Z Implementation and application of the fundamental theorem of probability Cohen, Jeremy S. (Jeremy Stein), 1975- Robert Freund and Gordon Kaufman. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998. Includes bibliographical references (leaves 64-65). The "RIK" (Reasoning with Incomplete Knowledge) algorithm, a mathematical programming based algorithm for performing probabilistic inference on (possibly) incompletely specified systems of discrete events is reviewed and implemented. Developed by Myers, Freund, and Kaufman, it is a tractable reformulation of the computational approach implicit to the Fundamental Theorem of Probability as stated by De Finetti and extended by Lad, Dickey and Rahman. Enhancements to the original algorithm are presented and several applications of the algorithm to real-world systems including fault trees and belief networks are explored. The system is solved successfully for moderately large problems, providing practical information for system designers coping with uncertainty. by Jeremy S. Cohen. M.Eng.and S.B. 2009-06-30T18:47:08Z 2009-06-30T18:47:08Z 1998 1998 Thesis http://hdl.handle.net/1721.1/46277 47095288 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 65 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Cohen, Jeremy S. (Jeremy Stein), 1975-
Implementation and application of the fundamental theorem of probability
title Implementation and application of the fundamental theorem of probability
title_full Implementation and application of the fundamental theorem of probability
title_fullStr Implementation and application of the fundamental theorem of probability
title_full_unstemmed Implementation and application of the fundamental theorem of probability
title_short Implementation and application of the fundamental theorem of probability
title_sort implementation and application of the fundamental theorem of probability
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/46277
work_keys_str_mv AT cohenjeremysjeremystein1975 implementationandapplicationofthefundamentaltheoremofprobability