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On Hamiltonian Monte Carlo for Gaussian Random Variables with Random Hamiltonians

Published 27 Feb 2026 in math.PR and math.DS | (2602.24256v1)

Abstract: We study a family of (multivariate-)Gaussian Hamiltonian Monte Carlo (GHMC) operators and prove that the family of Gaussian distributions and their mixtures are invariant under such operators. Furthermore, each such operator is a contraction on the space of parameters and an explicit formulae are derived. These results then enable us to analyze the dynamics and convergences of independent and identically distributed random sequences of such operators.

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