Stoss — A stochastic simulation system for Bayesian belief networks. / Luo, Zhiyuan; Gammerman, Alex.

Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. ed. / Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi A. Zadeh. Vol. 521 Springer, 1991. p. 97-105.

Research output: Chapter in Book/Report/Conference proceedingChapter

Published

Standard

Stoss — A stochastic simulation system for Bayesian belief networks. / Luo, Zhiyuan; Gammerman, Alex.

Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. ed. / Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi A. Zadeh. Vol. 521 Springer, 1991. p. 97-105.

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Luo, Z & Gammerman, A 1991, Stoss — A stochastic simulation system for Bayesian belief networks. in B Bouchon-Meunier, RR Yager & LA Zadeh (eds), Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. vol. 521, Springer, pp. 97-105. <http://link.springer.com/chapter/10.1007%2FBFb0028093>

APA

Luo, Z., & Gammerman, A. (1991). Stoss — A stochastic simulation system for Bayesian belief networks. In B. Bouchon-Meunier, R. R. Yager, & L. A. Zadeh (Eds.), Uncertainty in Knowledge Bases: Lecture Notes in Computer Science (Vol. 521, pp. 97-105). Springer. http://link.springer.com/chapter/10.1007%2FBFb0028093

Vancouver

Luo Z, Gammerman A. Stoss — A stochastic simulation system for Bayesian belief networks. In Bouchon-Meunier B, Yager RR, Zadeh LA, editors, Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. Vol. 521. Springer. 1991. p. 97-105

Author

Luo, Zhiyuan ; Gammerman, Alex. / Stoss — A stochastic simulation system for Bayesian belief networks. Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. editor / Bernadette Bouchon-Meunier ; Ronald R. Yager ; Lotfi A. Zadeh. Vol. 521 Springer, 1991. pp. 97-105

BibTeX

@inbook{844ef5fa581b4e43ab58315ee008ade9,
title = "Stoss — A stochastic simulation system for Bayesian belief networks",
abstract = "This paper describes a computational system, called STOSS (STOchastic Simulation System), using the stochastic simulation method to perform probabilistic reasoning for Bayesian belief networks. The system is then applied to an artificial example in the field of forensic science and the results are compared with the calculations obtained using the Causal Probabilistic Reasoning System (CPRS).",
author = "Zhiyuan Luo and Alex Gammerman",
year = "1991",
language = "English",
isbn = "978-3-540-54346-6",
volume = "521",
pages = "97--105",
editor = "Bouchon-Meunier, {Bernadette } and Yager, {Ronald R. } and Zadeh, { Lotfi A. }",
booktitle = "Uncertainty in Knowledge Bases",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - Stoss — A stochastic simulation system for Bayesian belief networks

AU - Luo, Zhiyuan

AU - Gammerman, Alex

PY - 1991

Y1 - 1991

N2 - This paper describes a computational system, called STOSS (STOchastic Simulation System), using the stochastic simulation method to perform probabilistic reasoning for Bayesian belief networks. The system is then applied to an artificial example in the field of forensic science and the results are compared with the calculations obtained using the Causal Probabilistic Reasoning System (CPRS).

AB - This paper describes a computational system, called STOSS (STOchastic Simulation System), using the stochastic simulation method to perform probabilistic reasoning for Bayesian belief networks. The system is then applied to an artificial example in the field of forensic science and the results are compared with the calculations obtained using the Causal Probabilistic Reasoning System (CPRS).

M3 - Chapter

SN - 978-3-540-54346-6

VL - 521

SP - 97

EP - 105

BT - Uncertainty in Knowledge Bases

A2 - Bouchon-Meunier, Bernadette

A2 - Yager, Ronald R.

A2 - Zadeh, Lotfi A.

PB - Springer

ER -