Bayes' Revised Probability

Computational Aspect of
Bayes' Revised Probability

This site is a part of the JavaScript E-labs learning objects for decision making. Other JavaScript in this series are categorized under different areas of applications in the MENU section on this page.

Professor Hossein Arsham   

The following JavaScript computes the posterior probabilities. This enables you to sharpen your uncertainties. This sharpening is achieved by incorporating an expert judgement's reliability matrix with your prior probability vector. The main application is in the Bayesian decision analysis. The JavaScript can accommodate up to nine states of nature. The number of states of nature determines the size of the reliability matrix.

Click on the size of matrix, according to the number of states of nature in your decision problem.

In entering your data to move from cell to cell in the data-matrix use the Tab key not arrow or enter keys.

2 X 2 6 X 6
3 X 3 7 X 7
4 X 4 8 X 8
5 X 5 9 X 9


For Technical Details, Back to:
Decision Analysis with Applications

Kindly email your comments to:
Professor Hossein Arsham


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Kindly e-mail me your comments, suggestions, and concerns. Thank you.

Professor Hossein Arsham   

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