@inbook{433ae8774b5c44cebe022252fa11dc89,
title = "Sensitivity analysis of probabilistic networks",
abstract = "Sensitivity analysis is a general technique for investigating the robustness of the output of a mathematical model and is performed for various different purposes. The practicability of conducting such an analysis of a probabilistic network has recently been studied extensively, resulting in a variety of new insights and effective methods, ranging from properties of the mathematical relation between a parameter and an output probability of interest, to methods for establishing the effects of parameter variation on decisions based on the output distribution computed from a network. In this paper, we present a survey of some of these research results and explain their significance.",
author = "{van der Gaag}, {Linda C.} and Silja Renooij and Coup{\'e}, {Veerle M.H.}",
year = "2007",
doi = "10.1007/978-3-540-68996-6_5",
language = "English",
isbn = "354068994X",
series = "Studies in Fuzziness and Soft Computing",
pages = "103--124",
editor = "Peter Lucas and Jose Gamez and Antionio Salmero",
booktitle = "Advances in Probabilistic Graphical Models",
}