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[Illinois]: Posterior probabilities of hypothetical fish classes

By Lisa Sproat

University of Illinois at Urbana-Champaign

Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule

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Version 1.1a - published on 19 Aug 2013

doi:10.4231/D36D5PB2R cite this

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Abstract

This tool computes the posterior probabilities of each of three hypothetical fish classes (minnow, salmon, marlin) using Bayes' rule.

FIGURE 9.1 is a flow diagram illustrating a procedure for classification of fishes. In this case the fish species to be classified are salmon and trout. (Diagram after Duda et al. 2001; drawings courtesy of Bob Hines, U.S.Fish and Wildlife Service.)

The equation below diagrams the anatomy of Bayes' rule.

This tool is built from the MATLAB scripts for Tutorial on Neural Systems Modeling by Thomas J. Anastasio.

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References

Anastasio, T. J. (2009). Tutorial on neural systems modeling. Sinauer Associates, Incorporated.

Cite this work

Researchers should cite this work as follows:

  • Lisa Sproat (2013), "[Illinois]: Posterior probabilities of hypothetical fish classes," http://nanohub.org/resources/fishbayesrule. (DOI: 10.4231/D36D5PB2R).

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