Note on Negative Probabilities and Observable Processes
Faigle, Ulrich and Schönhuth, Alexander
(2005)
Note on Negative Probabilities and Observable Processes.
Published In:
Algorithms for Optimization with Incomplete Information : Dagstuhl seminar Internat. Begegnungs- und Forschungszentrum für Informatik 2005, pp. 1-14.
Abstract
A mathematical framework for observable processes is introduced via the model of systems whose states may be time dependent and described by possibly "negative probabilities". The model generalizes and includes the linearly dependent models or observable operator models for classical discrete stochastic processes. Within this model a general convergence result for finite-dimensional processes, which generalize (hidden) Markov models, is derived. On the philosophical side, the model furthermore offers an explanation for Bell's inequality in quantum mechanics.
Editorial actions: | ![]() |
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Item Type: | Proceedings article |
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Citations: | 0 (Google Scholar) | |
Uncontrolled Keywords: | negative probability observable process Markov chain stochastic processes Bell's inequality HMM LDP OOM |
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Divisions: | Institute of Computer Science > Computer Science Department - Prof. Dr. Schrader Mathematical Institute > Prof. Dr. Faigle |
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ZAIK Number: | zaik2005-497 |
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Depositing User: | Prof. Dr. Ulrich Faigle |
Date Deposited: | 09 Nov 2005 00:00 |
Last Modified: | 12 Jan 2012 10:37 |
URI: | http://e-archive.informatik.uni-koeln.de/id/eprint/497 |