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Estimation of cause-effect relationship under noise

Part of: Controllability, observability, and system structure Operations research and management science

Published online by Cambridge University Press:  14 July 2016

András Prékopa
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Abstract

Events that occur consecutively or simultaneously cause some other event as effect. The latter can be observed with noise, and the problem is to estimate the weights of the causes in the realization of the effect.

Keywords

OBSERVATION WITH NOISEWEIGHTED CAUSES

MSC classification

Primary: 93B15: Realizations from input-output data
Secondary: 90B05: Inventory, storage, reservoirs

Information

Type
Part 6 Stochastic Processes
Information
Journal of Applied Probability , Volume 31 , Issue A , 1994 , pp. 343 - 350
Copyright
Copyright © Applied Probability Trust 1994 

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References

Barlow, R.E. and Proschan, F. (1965) Mathematical Theory of Reliability . Wiley, New York.Google Scholar
Crama, Y., Hammer, P.L. and Ibaraki, T. (1988) Cause-effect relationship and partially defined Boolean functions. Ann. Operat. Res. 16, 299–326.CrossRefGoogle Scholar
Davidovich, Yu.S., Korenblum, B.J. and Hacet, B.J. (1969) On a property of logarithmic concave functions. Dokl. Akad. Nauk. 185, 1215–1218.Google Scholar
Fekete, M. and Pólya, G. (1912) über ein Problem von Laguerre. Rend. Circ. Mat. Palermo 23, 89–120.CrossRefGoogle Scholar
Prekopa, A. (1971) Logarithmic concave functions with applications to stochastic programming. Acta Sci. Math. (Szeged) 32, 301–316.Google Scholar
Prékopa, A. (1973) On logarithmic concave measures and functions. Acta Sci. Math. (Szeged) 34, 335–343.Google Scholar
Prékopa, A. (1990) Dual method for a one-stage stochastic programming problem with random RHS obeying a discrete probability distribution. ZOR-Meth. Models Operat. Res. 34, 441–461.CrossRefGoogle Scholar