/CDE-diagnostics

Validation of Conditional Density Estimators and Posteriors in Simulation-Based Inference

Primary LanguageJupyter NotebookMIT LicenseMIT

CDE-diagnostics

The ''CDE-diagnostics'' package provides tools for validating the quality of conditional density estimators in Python. It contains source code for the paper ''Validation of Conditional Density Estimators and Posteriors in Simulation-Based Inference'' (https://arxiv.org/abs/2102.10473).

Author: David Zhao

Installation

CDE-diagnostics is available from PyPI; to install use

pip install cde-diagnostics

References

If you use this code in your research, please cite:

@article{zhao2021validating,
      title={Validating Conditional Density Models and Bayesian Inference Algorithms}, 
      author={David Zhao and Niccolò Dalmasso and Rafael Izbicki and Ann B. Lee},
      year={2021},
      eprint={2102.10473},
      archivePrefix={arXiv},
      primaryClass={stat.ME}
}