Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers

Wei Zhou, Xin He, Wei Zhong & Junhui Wang
Directed acyclic graph (DAG) models are widely used to represent casual relationships among random variables in many application domains. This article studies a special class of non-Gaussian DAG models, where the conditional variance of each node given its parents is a quadratic function of its conditional mean. Such a class of non-Gaussian DAG models are fairly flexible and admit many popular distributions as special cases, including Poisson, Binomial, Geometric, Exponential, and Gamma. To facilitate learning,...
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