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Volumn 47, Issue 3, 2004, Pages 441-453

A new algorithm to generate beta processes

Author keywords

Beta process; L vy process; Markov chain Monte Carlo

Indexed keywords

APPROXIMATION THEORY; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; POISSON DISTRIBUTION; PROBABILITY; REGRESSION ANALYSIS;

EID: 4944233138     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2003.12.008     Document Type: Article
Times cited : (19)

References (14)
  • 1
    • 0030544366 scopus 로고    scopus 로고
    • Implementation of Bayesian non-parametric inference based on beta processes
    • Damien P., Laud P.W., Smith A.F.M. Implementation of Bayesian non-parametric inference based on beta processes. Scand. J. Statist. 23:1996;27-36.
    • (1996) Scand. J. Statist. , vol.23 , pp. 27-36
    • Damien, P.1    Laud, P.W.2    Smith, A.F.M.3
  • 2
    • 0039644192 scopus 로고
    • Bayesian inference for generalized linear and proportional hazards models via Gibbs sampling
    • Dellaportas P., Smith A.F.M. Bayesian inference for generalized linear and proportional hazards models via Gibbs sampling. Appl. Statist. 42:1993;443-459.
    • (1993) Appl. Statist. , vol.42 , pp. 443-459
    • Dellaportas, P.1    Smith, A.F.M.2
  • 3
    • 0000111818 scopus 로고
    • Tailfree and neutral random probabilities and their posterior distributions
    • Doksum K.A. Tailfree and neutral random probabilities and their posterior distributions. Ann. Probab. 2:1974;183-201.
    • (1974) Ann. Probab. , vol.2 , pp. 183-201
    • Doksum, K.A.1
  • 4
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Ferguson T.S. A Bayesian analysis of some nonparametric problems. Ann. Statist. 1:1973;209-230.
    • (1973) Ann. Statist. , vol.1 , pp. 209-230
    • Ferguson, T.S.1
  • 5
    • 0000324169 scopus 로고
    • Adaptive rejection sampling for Gibbs sampling
    • Gilks W.R., Wild P. Adaptive rejection sampling for Gibbs sampling. Appl. Statist. 41:1992;337-348.
    • (1992) Appl. Statist. , vol.41 , pp. 337-348
    • Gilks, W.R.1    Wild, P.2
  • 6
    • 0001241617 scopus 로고
    • Nonparametric Bayes estimators based on beta processes in models for life history data
    • Hjort N.L. Nonparametric Bayes estimators based on beta processes in models for life history data. Ann. Statist. 18:1990;1259-1294.
    • (1990) Ann. Statist. , vol.18 , pp. 1259-1294
    • Hjort, N.L.1
  • 7
    • 0037185729 scopus 로고    scopus 로고
    • Bayesian survival estimation of Pareto distribution of the second kind based on failure-censored data
    • Howlader H.A., Hossain A.M. Bayesian survival estimation of Pareto distribution of the second kind based on failure-censored data. Comput. Statist. Data Anal. 38:2002;301-314.
    • (2002) Comput. Statist. Data Anal. , vol.38 , pp. 301-314
    • Howlader, H.A.1    Hossain, A.M.2
  • 9
    • 0033471036 scopus 로고    scopus 로고
    • Nonparametric Bayesian estimators for counting processes
    • Kim Y. Nonparametric Bayesian estimators for counting processes. Ann. Statist. 27:1999;562-588.
    • (1999) Ann. Statist. , vol.27 , pp. 562-588
    • Kim, Y.1
  • 10
    • 0035539844 scopus 로고    scopus 로고
    • On posterior consistency of survival models
    • Kim Y., Lee J. On posterior consistency of survival models. Ann. Statist. 29:2001;666-686.
    • (2001) Ann. Statist. , vol.29 , pp. 666-686
    • Kim, Y.1    Lee, J.2
  • 11
    • 0037688249 scopus 로고    scopus 로고
    • Bayesian analysis of proportional hazard models
    • Kim Y., Lee J. Bayesian analysis of proportional hazard models. Ann. Statist. 31:2003;493-511.
    • (2003) Ann. Statist , vol.31 , pp. 493-511
    • Kim, Y.1    Lee, J.2
  • 12
    • 4944245917 scopus 로고    scopus 로고
    • The Bernstein-von Mises theorem for survival models
    • to appear
    • Kim, Y., Lee, J., 2004. The Bernstein-von Mises theorem for survival models. Ann. Statist. to appear.
    • (2004) Ann. Statist.
    • Kim, Y.1    Lee, J.2
  • 13
    • 0013222779 scopus 로고    scopus 로고
    • Bayesian nonparametric and covariate analysis of failure time data
    • Dey, D., Muller, P., Sinha, D. (Eds.), Lecture Notes in Statistics. Springer
    • Laud, P.W., Damien, P., Smith, A.F.M., 1998. Bayesian nonparametric and covariate analysis of failure time data. In: Dey, D., Muller, P., Sinha, D. (Eds.), Practical Nonparametric and Semiparametric Bayesian Statistics, Lecture Notes in Statistics, Vol. 133. Springer.
    • (1998) Practical Nonparametric and Semiparametric Bayesian Statistics , vol.133
    • Laud, P.W.1    Damien, P.2    Smith, A.F.M.3
  • 14
    • 0042902427 scopus 로고    scopus 로고
    • Simulation of Lévy random fields
    • Dey, D., Muller, P., Sinha, D. (Eds.), Lecture Notes in Statistics. Springer
    • Wolpert, R.L., Ickstadt, K., 1998. Simulation of Lévy random fields. In: Dey, D., Muller, P., Sinha, D. (Eds.), Practical Nonparametric and Semiparametric Bayesian Statistics, Lecture Notes in Statistics, Vol. 133. Springer.
    • (1998) Practical Nonparametric and Semiparametric Bayesian Statistics , vol.133
    • Wolpert, R.L.1    Ickstadt, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.