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The $L_p$-error rate for randomized quasi-Monte Carlo self-normalized importance sampling of unbounded integrands
Self-normalized importance sampling (SNIS) is a fundamental tool in Bayesian inference when the posterior distribution involves an unknown normalizing constant. In many applications, both the test function of interest and the underlying state space are unbounded, making direct $L_1$-error (mean abso
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