Living on the Edge: An Unified Approach to Antithetic Sampling
We identify recurrent ingredients in the antithetic sampling literature leading to a unified sampling framework. We introduce a new class of antithetic schemes that includes the most used antithetic proposals. This perspective enables the derivation of new properties of the sampling schemes: i) opti...
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Main Authors: | , , , |
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Format: | Journal Article |
Language: | English |
Published: |
28-10-2021
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Subjects: | |
Online Access: | Get full text |
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Summary: | We identify recurrent ingredients in the antithetic sampling literature
leading to a unified sampling framework. We introduce a new class of antithetic
schemes that includes the most used antithetic proposals. This perspective
enables the derivation of new properties of the sampling schemes: i) optimality
in the Kullback-Leibler sense; ii) closed-form multivariate Kendall's $\tau$
and Spearman's $\rho$; iii)ranking in concordance order and iv) a central limit
theorem that characterizes stochastic behavior of Monte Carlo estimators when
the sample size tends to infinity. Finally, we provide applications to Monte
Carlo integration and Markov Chain Monte Carlo Bayesian estimation. |
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DOI: | 10.48550/arxiv.2110.15124 |