Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching
高维有界离散图模型的正则化广义得分匹配估计
Graphical models for multivariate count data are widely used to characterize conditional dependence structures. For count variables with unbounded support, however, ensuring a finite normalizing constant typically imposes restrictive constraints on interaction parameters. We propose bounded discrete graphical models for multivariate discrete responses with finite support, which remove such constraints by construction while retaining interpretable dependence on the observed…