most citedScalable marginalization of correlated latent variables with applications to learning particle interaction kernels

8 citations · 8 across the 2 of their papers we have counts for

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2 papers

math.NA2026

Beyond Invariant Dictionary: Data-Driven Koopman Spectral Recovery with Filtered Extended Dynamic Mode Decomposition

Siji Chen, Igor Mezić, Igor Mezić +1

The Koopman operator provides a linear framework for analyzing nonlinear dynamical systems through spectral properties. Extended Dynamic Mode Decomposition (EDMD) approximates this…

stat.CO2026★ 8 cited

Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels

Mengyang Gu, Xubo Liu, Xinyi Fang +1

Marginalization of latent variables or nuisance parameters is a fundamental aspect of Bayesian inference and uncertainty quantification. In this work, we focus on scalable marginal…