Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities

arXiv:2602.14616v1 Announce Type: cross Abstract: Markov chain Monte Carlo (MCMC) sampling of densities restricted to linearly constrained domains is an important task arising in Bayesian treatment of inverse problems in the natural sciences. While efficient algorithms for uni...

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