Supplementary Material of " Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks "
–Neural Information Processing Systems
We provide a detailed proof for Theorem 1. We provide an alternative proof for identifiability of Poisson BN. I (G D), where the last equality holds because the integrand is the kernel of a beta distribution. The scRNA-seq experiments were performed on five mice with AhR knockout targeted to intestinal stem cells. On average each mouse contributed 6,000 cells.
Neural Information Processing Systems
Nov-13-2025, 22:03:53 GMT
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