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1 Erratum to: Stat Comput (2016) 26:1187–1211 DOI 10.1007/s11222-015-9604-3
The statement of Proposition 4.1 is incorrect. We present the corrected result with its proof.
Proposition 4.1
Assume (P1), (P2), (W4), (W5). Alternatively, assume (P1*), (P2) and (W5). Then, there exists \(D_{k}>0\) and \(N_{0}\in \mathbb {N}^{+}\) such that for all \(N\ge N_{0}\),
where \(\tau =k\) if \(k\in (0,1)\) and \(\tau =\frac{1+k}{2}\) if \(k\ge 1\). If in addition (W5) holds for all \(k>0\), then for any \(\varepsilon \in (0,1/6)\) there will exist \(D_{\varepsilon }>0\) and \(N_{0}\in \mathbb {N}^{+}\) such that for all \(N\ge N_{0}\),
Proof
The proof is identical to the original version up to the inequality
By the Marcinkiewicz–Zygmund inequality for i.i.d random variables (see, e.g., Gut 2012, Chapter 3, Corollary 8.2), there exists \(B_k<\infty \) such that
where
Therefore,
The first part of the result follows from the original proof by taking
and considering \(N^\tau \) instead of \(N^k\).
For the second claim, take \(k_{\varepsilon }\ge (2\varepsilon )^{-1}-2\ge 1\) and apply the first part. \(\square \)
References
Gut, A.: Probability: A Graduate Course. Springer Texts in Statistics. Springer, New York (2012). https://books.google.co.uk/books?id=9TmRgPg-6vgC
Acknowledgements
The authors are deeply grateful to Daniel Rudolf for pointing out the mistake and contributing towards the correction.
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The online version of the original article can be found under doi:10.1007/s11222-015-9604-3.
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Medina-Aguayo, F.J., Lee, A. & Roberts, G.O. Erratum to: Stability of noisy Metropolis–Hastings. Stat Comput 28, 239 (2018). https://doi.org/10.1007/s11222-017-9755-5
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DOI: https://doi.org/10.1007/s11222-017-9755-5