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Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems

机译：高可靠系统马尔可夫模型的似然比灵敏度分析

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Marvin K. Nakayama; Ambuj Goyal; Peter W. Glynn;
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年度 1994
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1. A unified framework for simulating Markovian models of highly dependable systems [J] . Goyal A., Shahabuddin P. IEEE Transactions on Computers . 1992,第1期

机译：用于模拟高度可靠系统的马尔可夫模型的统一框架
2. Estimating reliability measures for highly-dependable Markovsystems, using balanced likelihood ratios [J] . Alexopoulos C., Shultes B.C. IEEE Transactions on Reliability . 2001,第3期

机译：使用平衡似然比估算高度依赖的马尔可夫系统的可靠性指标
3. Asymptotics of Likelihood Ratio Derivative Estimators in Simulations of Highly Reliable Markovian Systems [J] . Marvin K. Nakayama Management science: Journal of the Institute of Management Sciences . 1995,第3期

机译：高可靠马尔可夫系统仿真中似然比导数估计的渐近性。
4. Fast simulation of steady-state availability in non-Markovian highly dependable systems [C] . Nicola, V.F., Shahabuddin, Fault-Tolerant Computing, 1993. FTCS-23. Digest of Papers., The Twenty-Third International Symposium on . 1993

机译：非马尔可夫高可靠系统中稳态可用性的快速仿真
5. Dependability and sensitivity analysis of multi-phase systems using Markov chains. [D] . Ou, Yong. 2002

机译：使用马尔可夫链的多相系统的可靠性和敏感性分析。
6. Systems pharmacology of the nerve growth factor pathway: use of a systems biology model for the identification of key drug targets using sensitivity analysis and the integration of physiology and pharmacology [O] . Neil Benson, Tomomi Matsuura, Sergey Smirnov, 2013

机译：神经生长因子途径的系统药理学：使用系统生物学模型通过敏感性分析以及生理学和药理学的整合来识别关键药物靶标
7. Asymptotics Of Likelihood Ratio Derivative Estimators In Simulations Of Highly Reliable Markovian Systems [O] . Marvin K. Nakayama 100

机译：高可靠马尔可夫系统模拟中似然比导数估计的渐近性

Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems

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