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Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces
Convergence analysis of Markov chain Monte Carlo methods in high-dimensional statistical applications is increasingly recognized.
Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes
A series of high-dimensional consistency results is obtained, including the strong selection consistency of an empirical Bayes model for structure learning.
Statistics Theory Computation Statistics Theory 62F15, 62J05
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