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Implementation of the Extreme Joint Distribution algorithm in C++

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Extreme Joint Distributions

This library provides a C++ implementation of the Extreme Joint Distribution (EJD) algorithm in [1].

Dependencies

  • CMake 3.10+
  • C++17
  • Eigen3
  • Boost 1.67+ (relies on Boost.Math)
  • Discreture

Build

The usual CMake build procedure

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
ninja -j4

References

If you find this library useful, please consider citing

@article{chiu2017correlated,
  title={Correlated multivariate Poisson processes and extreme measures},
  author={Chiu, Michael and Jackson, Kenneth R and Kreinin, Alexander},
  journal={Model Assisted Statistics and Applications},
  volume={12},
  number={4},
  pages={369--385},
  year={2017},
  publisher={IOS Press}
}

[1] Chiu, Michael, Kenneth R. Jackson, and Alexander Kreinin. "Correlated multivariate Poisson processes and extreme measures." Model Assisted Statistics and Applications 12.4 (2017): 369-385. [arxiv] [Model Assisted Statistics And Applications]

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  • C++ 91.6%
  • CMake 6.6%
  • C 1.8%