Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
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Dec 10, 2020 - Python
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conditional-density-estimation
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conDENSE anomaly detection model implementation
time-series density-estimation anomaly-detection conditional-density-estimation masked-autoregressive-flow
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Feb 14, 2025 - Python
Comparison of summary statistic selection methods with a unifying perspective.
information-theory data-compression summary-statistics approximate-bayesian-computation likelihood-free-inference conditional-density-estimation simulation-based-inference
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Jun 23, 2023 - Python
The developed R code implements an Extended Conditional Density Estimation Network Creation and Evaluation model designed for forecasting distribution parameters, with a generalized network architecture capable of accommodating any number of hidden layers, hidden neurons, and activation functions.
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Jul 12, 2025 - HTML
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