Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-25T22:11:20.204Z Has data issue: false hasContentIssue false

Estimation of cause-effect relationship under noise

Published online by Cambridge University Press:  14 July 2016

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.

Type
Part 6 Stochastic Processes
Copyright
Copyright © Applied Probability Trust 1994 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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, 299326.CrossRefGoogle Scholar
Davidovich, Yu.S., Korenblum, B.J. and Hacet, B.J. (1969) On a property of logarithmic concave functions. Dokl. Akad. Nauk. 185, 12151218.Google Scholar
Fekete, M. and Pólya, G. (1912) über ein Problem von Laguerre. Rend. Circ. Mat. Palermo 23, 89120.CrossRefGoogle Scholar
Prekopa, A. (1971) Logarithmic concave functions with applications to stochastic programming. Acta Sci. Math. (Szeged) 32, 301316.Google Scholar
Prékopa, A. (1973) On logarithmic concave measures and functions. Acta Sci. Math. (Szeged) 34, 335343.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, 441461.CrossRefGoogle Scholar