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Python library that implements the computation of the distribution of a linear combination of non-centered χ2 random variables. Can compute the distribution function of Quadratic Forms in Normal Variables

License: MIT License

C++ 55.88% Python 44.12%
c numpy python generalized-chi-squared linear-combination-chi-squared

pyquadraticformnormal's Introduction

PyQuadraticFormNormal

Tests Status License: MIT

Python library that implements the computation of quadratic form of normal random variables, i.e., it allows the computation of the distribution of a linear combination of non-centered χ2 random variables.

Library Author: Alessio Russo (PhD Student at KTH - [email protected])
License: MIT

Requirements

  • Python 3.7, PyBind, NumPy

Installation

Use the setup.py file to install the library (execute the command pip install .)

Usage/Examples

See also the example file in examples/example.py

Known problems

TODO

  • Add better examples
  • Finish renaming of the methods
  • Finish cleanup of the C code

License

The code is released under the MIT license

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