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Integrate and Classify Normal Distributions

version 1.8.2 (18.8 MB) by Abhranil Das
Integrate the Gaussian (normal) in any domain, compute the pdf/cdf/icdf of any function of a normal, and classification error among normals.

78 Downloads

Updated 13 May 2021

From GitHub

View license on GitHub

Integrate and classify normal distributions View Integrate and Classify Normal Distributions on File Exchange

Matlab toolbox to integrate normal (Gaussian) distributions in any dimensions with any parameters within any domain, compute pdf/cdf/inverse cdf of any function of a normal vector, and compute quantities concerning classification performance among two or more multinormals, such as error matrix and discriminability d'.

Author

Abhranil Das, Center for Perceptual Systems, The University of Texas at Austin.

Bugs/comments/questions/suggestions to abhranil.das@utexas.edu.

If you use this code, please cite: A method to integrate and classify normal distributions.

Installation

Within Matlab's Home tab, select Add-Ons > Get Add-Ons > Search for 'Integrate and classify normal distributions' and install.

Quick Start

After installation, begin with the Getting Started live script, or at any time, go to Home tab > Add-Ons > Manage Add-Ons > Click the three dots next to this toolbox > View Getting Started Guide.

Documentation

For function help, type:

doc integrate_normal
doc classify_normals
doc classify_normals_multi
doc norm_fun_cdf
doc norm_fun_pdf
doc norm_fun_inv

Cite As

Abhranil Das and Wilson S. Geisler. "A method to integrate and classify normal distributions." arXiv preprint arXiv:2012.14331 (2020).

MATLAB Release Compatibility
Created with R2020b
Compatible with R2020a and later releases
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.