Bayesian Inference for Generalized Random Dot Product Graphs with Scaled Mixtures of Normals

Joshua Daniel Loyal
Paper From BibTeX import
arXiv preprint arXiv:2509.19748, 2025

Notes

Cited in riva2026random as an example of Bayesian hierarchical smoothing for RDPG trajectories that produces smooth interpolations but lacks dynamical consistency, since it does not enforce that velocity depends on state through an ODE.

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