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Volumn 16, Issue 4, 2001, Pages 335-339

A Geometric Interpretation of the Metropolis-Hastings Algorithm

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Indexed keywords


EID: 0041386088     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/ss/1015346318     Document Type: Article
Times cited : (71)

References (12)
  • 1
    • 0040272739 scopus 로고
    • Eigenanalysis for some examples of the Metropolis algorithm
    • DIACONIS, P. and HANLON, P. (1992). Eigenanalysis for some examples of the Metropolis algorithm. Contemp. Math. 138 99-117.
    • (1992) Contemp. Math. , vol.138 , pp. 99-117
    • Diaconis, P.1    Hanlon, P.2
  • 2
    • 0040780247 scopus 로고    scopus 로고
    • Analysis of systematic scan Metropolis algorithms using Iwahori-Hecke algebra techniques
    • DIACONIS, P. and RAM, A. (2000). Analysis of systematic scan Metropolis algorithms using Iwahori-Hecke algebra techniques. Michigan Math. J. 48 157-190.
    • (2000) Michigan Math. J. , vol.48 , pp. 157-190
    • Diaconis, P.1    Ram, A.2
  • 3
    • 0032136909 scopus 로고    scopus 로고
    • What do we know about the Metropolis algorithm?
    • DIACONIS, P. and SALOFF-COSTE, L. (1998). What do we know about the Metropolis algorithm? J. Comput. System. Sci. 57 20-36.
    • (1998) J. Comput. System. Sci. , vol.57 , pp. 20-36
    • Diaconis, P.1    Saloff-Coste, L.2
  • 7
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • HASTINGS, W. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.1
  • 9
    • 0030551974 scopus 로고    scopus 로고
    • Rates of convergence of the Hastings and Metropolis algorithms
    • MENGERSEN, K. and TWEEDIE, R. (1996). Rates of convergence of the Hastings and Metropolis algorithms. Ann. Statist. 24 101-121.
    • (1996) Ann. Statist. , vol.24 , pp. 101-121
    • Mengersen, K.1    Tweedie, R.2
  • 11
    • 0015730787 scopus 로고
    • Optimal Monte Carlo sampling using Markov chains
    • PESKUN, P. (1973). Optimal Monte Carlo sampling using Markov chains. Biometrika 60 607-612.
    • (1973) Biometrika , vol.60 , pp. 607-612
    • Peskun, P.1
  • 12
    • 0031285157 scopus 로고    scopus 로고
    • Weak convergence and optimal scaling of random walk Metropolis algorithms
    • ROBERTS, G., GELMAN, A. and GILKS, W. (1997). Weak convergence and optimal scaling of random walk Metropolis algorithms. Ann. Appl. Probab. 7 110-120.
    • (1997) Ann. Appl. Probab. , vol.7 , pp. 110-120
    • Roberts, G.1    Gelman, A.2    Gilks, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.