A note on the ABC-PRC algorithm of Sissons et al. (2007)
Mark A. Beaumont

TL;DR
This paper tests the ABC-PRC algorithm from Sissons et al. (2007) and shows through a toy example that it fails to converge to the true posterior distribution.
Contribution
It provides an empirical evaluation of the ABC-PRC algorithm and demonstrates its non-convergence in a simple example.
Findings
ABC-PRC does not converge to the true posterior in tested scenarios
The paper highlights limitations of the ABC-PRC algorithm
Empirical evidence questions the reliability of ABC-PRC for accurate inference
Abstract
This note describes the results of some tests of the ABC-PRC algorithm of Sissons et al. (PNAS, 2007), and demonstrates with a toy example that the method does not converge on the true posterior distribution.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Neural Networks and Applications · Statistical Methods and Inference
