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stat.ME2026
Bayesian Posterior Learning of Mixed Graphical Models
Erdong Guo, Alexandros Beskos, Maria De Iorio
Mixed Graphical Models (MGMs) provide a flexible framework for structure learning from heterogeneous data by treating sets of both continuous and discrete. Bayesian inference for M…
hep-ph2026
Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics
Erdong Guo, Paul Jackson, Jin Min Yang +1
High-energy physics phenomenology often requires linking multiple computational tools to evaluate observables, likelihoods, and experimental constraints across nontrivial parameter…