Bayesian network, Advanced Statistics

Bayesian network: It is essentially an expert system in which the uncertainty is dealt with using the conditional probabilities and Bayes' Theorem. Formally such type of network comprises the following:

* A set of directed edges between the variables and a set of variables.

* Each variable has the ?nite set of the states which are mutually exclusive.

* The variables together with directed edges forma the conditional independence of the graph.

* To each of the variable A with parents B1; ... ; Bn there is an attached conditional probability table Pr A B1; B2; ... ; Bn .

An instance is shown in the Figure drawn below in which cancer is independent of age group given exposure to the toxics and smoking.
870_baynesian network.png

Posted Date: 7/26/2012 5:26:12 AM | Location : United States







Related Discussions:- Bayesian network, Assignment Help, Ask Question on Bayesian network, Get Answer, Expert's Help, Bayesian network Discussions

Write discussion on Bayesian network
Your posts are moderated
Related Questions
1) Let N1(t) and N2(t) be independent Poisson processes with rates, ?1 and ?2, respectively. Let N (t) = N1(t) + N2(t). a) What is the distribution of the time till the next epoch

Locally weighted regression  is the method of regression analysis in which the polynomials of degree one (linear) or two (quadratic) are used to approximate regression function in

A term usually used for unobserved individual heterogeneity. Such variation is of main concern in the medical statistics particularly in the analysis of the survival times where ha

The procedure in which initially the sample of subjects is selected for generating the auxillary information only, and then the second sample is selected in which the variable of i

Oracle property is a name given to techniques for estimating the regression parameters in the models fitted to high-dimensional data which have the property that they can correctl


The alternative process to make use of the chi-squared statistic for assessing the independence of the two variables forming a two-by-two contingency table particularly when expect

The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give

Random allocation is a technique for creating the treatment and control groups particularly in accordance of the clinical trial. Subjects receive the active treatment or the place

This is an attempt to measure the suffering caused by the illness which takes into the account both the years of the potential life lost due to the premature mortality as well as t