Sensitivity to hyperprior parameters in Gaussian Bayesian networks

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sensitivity to hyperprior parameters in Gaussian Bayesian networks

Bayesian networks (BNs) have become an essential tool for reasoning under uncertainty in complex models. In particular, the subclass of Gaussian Bayesian networks (GBNs) can be used to model continuous variables with Gaussian distributions. Here we focus on the task of learning GBNs from data. Factorization of the multivariate Gaussian joint density according to a directed acyclic graph (DAG) p...

متن کامل

Sensitivity of Gaussian Bayesian networks to inaccuracies in their parameters

To determine the effect of a set of inaccurate parameters in Gaussian Bayesian networks, it is necessary to study the sensitivity of the model. With this aim we propose a sensitivity analysis based on comparing two different models: the original model with the initial parameters assigned to the Gaussian Bayesian network and the perturbed model obtained after perturbing a set of inaccurate param...

متن کامل

Sensitivity to evidence in Gaussian Bayesian networks using mutual information

We introduce a methodology for sensitivity analysis of evidence variables in Gaussian Bayesian networks. Knowledge of the posterior probability distribution of the target variable in a Bayesian network, given a set of evidence, is desirable. However, this evidence is not always determined; in fact, additional information might be requested to improve the solution in terms of reducing uncertaint...

متن کامل

Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters

Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes, and to identify single parameter changes that would enforce a certain query constraint. In this paper, we expand the work to multiple parameters which may be in the CPT of a single variable, or the CPTs of multiple v...

متن کامل

Sensitivity Analysis in Gaussian Bayesian Networks Using a Divergence Measure

The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Multivariate Analysis

سال: 2014

ISSN: 0047-259X

DOI: 10.1016/j.jmva.2013.10.022