Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
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Updated
Jun 6, 2023 - Python
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
Modeling correlated count data
Geographically Weighted Negative Binomial Regression in Python - local spatial modeling for over dispersed count data.
RNS-Seq Count Model Explorer
Poisson GLM fitted by iteratively reweighted least squares from scratch, validated against scikit-learn; the right model for counts.
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