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The Spectrum of the Independent Metropolis–Hastings Algorithm

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In this paper we perform a spectral analysis for the kernel operator associated with the transition kernel for the Metropolis–Hastings algorithm that uses a fixed, location independent proposal distribution. Our main result is to establish the spectrum of the kernel operator T in the continuous case, thereby generalizing the results obtained by Liu in (Statist. Comput. 6, 113–119 1996) for the finite case.

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References

  1. Gåsemyr, J. (2005). A theoretical analysis of the performance of the independent Metropolis–Hastings algorithm on continuous state spaces. (In progress).

  2. Hauge, R. (2002). On convergence of independent Metropolis–Hastings. Norwegian Computing Center, P. O. Box 114 Blindern, N–0314 Oslo, Norway.

  3. Holden, L., Hauge, R., and Holden, M. (2002). Adaptive independent Metropolis–Hastings. Norwegian Computing Center, P. O. Box 114 Blindern, N–0314 Oslo, Norway.

  4. Hastings W.K. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrica 57:97–109

    Article  MATH  Google Scholar 

  5. Liu J.S. (1996). Metropolized independent sampling with comparison to rejection sampling and importance sampling. Statist. Comput. 6:113–119

    Article  Google Scholar 

  6. Metropolis M., Rosenbluth A.W., Rosenbluth M.N., Teller A., and Teller E. (1953). Equation of state calculations by fast computing machines. J. Chem. Phys. 21:1087–1092

    Article  Google Scholar 

  7. Smith R.L., and Tierney L. (1996). Exact transition probabilities for the independence Metropolis sampler. Technical report, Department of Statistics, University of North Carolina, Chapel Hill, N.C. 27599–3260, USA

    Google Scholar 

  8. Tierney L. (1994). Markov chains for exploring posterior distributions. Ann. Statistics 22:1701–1762

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Jørund Gåsemyr.

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Gåsemyr, J. The Spectrum of the Independent Metropolis–Hastings Algorithm. J Theor Probab 19, 152–165 (2006). https://doi.org/10.1007/s10959-006-0009-2

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  • DOI: https://doi.org/10.1007/s10959-006-0009-2

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