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Volumn 20, Issue 4, 2010, Pages 1395-1422

Multivariate kernel partition process mixtures

Author keywords

Chinese restaurant process; Dirichlet process; Discriminant analysis; Local clustering; Longitudinal data; Nonparametric bayes; Random effects

Indexed keywords


EID: 78349297511     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (43)
  • 1
    • 0000363076 scopus 로고
    • Exchangeability and related topics
    • (Edited by P. L. Hennequin), Springer Lecture Notes in Mathematics
    • Aldous, D. J. (1985). Exchangeability and related topics. In École d'Été de Probabilitiés de Saint-Flour XII (Edited by P. L. Hennequin). Springer Lecture Notes in Mathematics 1117.
    • (1985) École d'Été de Probabilitiés de Saint-Flour , vol.12 , pp. 1117
    • Aldous, D.J.1
  • 2
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • Banfield, J. D. and Raftery, A. E. (1993). Model-based Gaussian and non-Gaussian clustering. Biometrics 49, 803-821.
    • (1993) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.D.1    Raftery, A.E.2
  • 3
    • 21644455755 scopus 로고    scopus 로고
    • Hierarchical models for assessing variability among functions
    • Behseta, S., Kass, R. E. and Wallstrom, G. L. (2005). Hierarchical models for assessing variability among functions. Biometrika 92, 419-434.
    • (2005) Biometrika , vol.92 , pp. 419-434
    • Behseta, S.1    Kass, R.E.2    Wallstrom, G.L.3
  • 4
    • 66249124310 scopus 로고    scopus 로고
    • Bayesian semiparametric joint models for functional predictors
    • Bigelow, J. L. and Dunson, D. B. (2009). Bayesian semiparametric joint models for functional predictors. J. Amer. Statist. Assoc. 104, 26-36.
    • (2009) J. Amer. Statist. Assoc. , vol.104 , pp. 26-36
    • Bigelow, J.L.1    Dunson, D.B.2
  • 6
    • 0002617436 scopus 로고
    • Ferguson distributions via Polya urn schemes
    • Blackwell, D. and MacQueen, J. B. (1973). Ferguson distributions via Polya urn schemes. Ann. Statist. 1, 353-355.
    • (1973) Ann. Statist. , vol.1 , pp. 353-355
    • Blackwell, D.1    MacQueen, J.B.2
  • 7
    • 0000904732 scopus 로고    scopus 로고
    • A semiparametric Bayesian model for randomised block designs
    • Bush, C. A. and MacEachern, S. N. (1996). A semiparametric Bayesian model for randomised block designs. Biometrika 83, 275-285.
    • (1996) Biometrika , vol.83 , pp. 275-285
    • Bush, C.A.1    MacEachern, S.N.2
  • 8
    • 42949083218 scopus 로고    scopus 로고
    • Latent transition analysis: Inference and estimation
    • Chung, H., Lanza, S. T. and Loken, E. (2008). Latent transition analysis: Inference and estimation. Statist. Medicine 27, 1834-1854.
    • (2008) Statist. Medicine , vol.27 , pp. 1834-1854
    • Chung, H.1    Lanza, S.T.2    Loken, E.3
  • 10
    • 33947636570 scopus 로고    scopus 로고
    • Semiparametric Bayesian classification with longitudinal markers
    • De la Cruz-Mesia, R., Quintana, F. A. and Müller, P. (2007). Semiparametric Bayesian classification with longitudinal markers. Appl. Statist. 56, 119-137.
    • (2007) Appl. Statist. , vol.56 , pp. 119-137
    • De La Cruz-Mesia, R.1    Quintana, F.A.2    Müller, P.3
  • 11
    • 66249125931 scopus 로고    scopus 로고
    • Nonparametric Bayes local partition models for random effects
    • Dunson, D. B. (2009). Nonparametric Bayes local partition models for random effects. Biometrika 96, 249-262.
    • (2009) Biometrika , vol.96 , pp. 249-262
    • Dunson, D.B.1
  • 13
    • 42349087482 scopus 로고    scopus 로고
    • The matrix stick-breaking process: Flexible Bayes meta analysis
    • Dunson, D. B., Xue, Y. and Carin, L. (2008). The matrix stick-breaking process: Flexible Bayes meta analysis. J. Amer. Statist. Assoc. 103, 317-27.
    • (2008) J. Amer. Statist. Assoc. , vol.103 , pp. 317-27
    • Dunson, D.B.1    Xue, Y.2    Carin, L.3
  • 14
    • 1842637512 scopus 로고    scopus 로고
    • Mixed-membership models of scientific publications
    • Erosheva, E., Fienberg, S. and Lafferty, J. (2006). Mixed-membership models of scientific publications. Proc. Nat. Acad. Sci. 101, 5220-5227.
    • (2006) Proc. Nat. Acad. Sci. , vol.101 , pp. 5220-5227
    • Erosheva, E.1    Fienberg, S.2    Lafferty, J.3
  • 15
    • 84950937290 scopus 로고
    • Bayesian density-estimation and inference using mixtures
    • Escobar, M. D. and West, M. (1995). Bayesian density-estimation and inference using mixtures. J. Amer. Statist. Assoc. 90, 577-588.
    • (1995) J. Amer. Statist. Assoc. , vol.90 , pp. 577-588
    • Escobar, M.D.1    West, M.2
  • 16
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Ferguson, T. S. (1973). A Bayesian analysis of some nonparametric problems. Ann. Statist. 1, 209-230.
    • (1973) Ann. Statist. , vol.1 , pp. 209-230
    • Ferguson, T.S.1
  • 17
    • 0000780135 scopus 로고
    • Prior distributions on spaces of probability measures
    • Ferguson, T. S. (1974). Prior distributions on spaces of probability measures. Ann. Statist. 2, 615-629.
    • (1974) Ann. Statist. , vol.2 , pp. 615-629
    • Ferguson, T.S.1
  • 18
    • 0035998835 scopus 로고    scopus 로고
    • Model-based clustering, discriminant analysis and density estimation
    • Fraley, C. and Raftery, A. E. (2002). Model-based clustering, discriminant analysis and density estimation. J. Amer. Statist. Assoc. 97, 611-631.
    • (2002) J. Amer. Statist. Assoc. , vol.97 , pp. 611-631
    • Fraley, C.1    Raftery, A.E.2
  • 19
  • 20
    • 33645507298 scopus 로고    scopus 로고
    • A quantitative study of gene regulation involved in the immune response of anopheline mosquitoes: An application of Bayesian hierarchical clustering of curves
    • Heard, N. A., Holmes, C. C. and Stephens, D. A. (2006). A quantitative study of gene regulation involved in the immune response of anopheline mosquitoes: An application of Bayesian hierarchical clustering of curves. J. Amer. Statist. Assoc. 101, 18-29.
    • (2006) J. Amer. Statist. Assoc. , vol.101 , pp. 18-29
    • Heard, N.A.1    Holmes, C.C.2    Stephens, D.A.3
  • 21
    • 84867151416 scopus 로고    scopus 로고
    • Bayesian auxiliary variable models for binary and multinomial regression
    • Holmes, C. C. and Held, L. (2006). Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis 1, 145-168.
    • (2006) Bayesian Analysis , vol.1 , pp. 145-168
    • Holmes, C.C.1    Held, L.2
  • 22
    • 1842816362 scopus 로고    scopus 로고
    • Gibbs sampling methods for stick-breaking priors
    • Ishwaran, H. and James, L.F. (2001). Gibbs sampling methods for stick-breaking priors. J. Amer. Statist. Assoc. 96, 161-173.
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 161-173
    • Ishwaran, H.1    James, L.F.2
  • 23
    • 0346338291 scopus 로고    scopus 로고
    • Generalized weighted Chinese restaurant processes for species sampling mixture models
    • Ishwaran, H. and James, L.F. (2003). Generalized weighted Chinese restaurant processes for species sampling mixture models. Statist. Sinica 13, 1211-1235.
    • (2003) Statist. Sinica , vol.13 , pp. 1211-1235
    • Ishwaran, H.1    James, L.F.2
  • 24
    • 22544479764 scopus 로고    scopus 로고
    • Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
    • Jasra, A., Holmes, C. C. and Stephens, D. A. (2005). Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling. Statist. Sci. 20, 50-67.
    • (2005) Statist. Sci. , vol.20 , pp. 50-67
    • Jasra, A.1    Holmes, C.C.2    Stephens, D.A.3
  • 26
    • 0031662186 scopus 로고    scopus 로고
    • A semiparametric Bayesian approach to the random effects model
    • Kleinman, K. P. and Ibrahim, J. G. (1998). A semiparametric Bayesian approach to the random effects model. Biometrics 54, 921-938.
    • (1998) Biometrics , vol.54 , pp. 921-938
    • Kleinman, K.P.1    Ibrahim, J.G.2
  • 27
    • 0001876649 scopus 로고
    • On a class of Bayesian nonparametric estimates. 1. density estimates
    • Lo, A. Y. (1984). On a class of Bayesian nonparametric estimates. 1. density estimates. Ann. Statist. 12, 351-357.
    • (1984) Ann. Statist. , vol.12 , pp. 351-357
    • Lo, A.Y.1
  • 28
    • 68149091853 scopus 로고    scopus 로고
    • Nonparametric Bayes kernel-based priors for functional data analysis
    • MacLehose, R. F. and Dunson, D. B. (2009). Nonparametric Bayes kernel-based priors for functional data analysis. Statist. Sinica 19, 611-629.
    • (2009) Statist. Sinica , vol.19 , pp. 611-629
    • MacLehose, R.F.1    Dunson, D.B.2
  • 30
    • 0038909620 scopus 로고    scopus 로고
    • A Bayesian population model with hierarchical mixture priors applied to blood count data
    • Müller, P. and Rosner, G. L. (1997). A Bayesian population model with hierarchical mixture priors applied to blood count data. J. Amer. Statist. Assoc. 92, 1279-1292.
    • (1997) J. Amer. Statist. Assoc. , vol.92 , pp. 1279-1292
    • Müller, P.1    Rosner, G.L.2
  • 31
    • 0032969449 scopus 로고    scopus 로고
    • Finite mixture modeling with mixture outcomes using the EM algorithm
    • Muthén, B. and Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics 55, 463-469.
    • (1999) Biometrics , vol.55 , pp. 463-469
    • Muthén, B.1    Shedden, K.2
  • 33
    • 40249114903 scopus 로고    scopus 로고
    • Retrospective MCMC for Dirichlet process hierarchical models
    • Papaspiliopoulos, O. and Roberts, G. (2008). Retrospective MCMC for Dirichlet process hierarchical models. Biometrika 95, 169-186.
    • (2008) Biometrika , vol.95 , pp. 169-186
    • Papaspiliopoulos, O.1    Roberts, G.2
  • 35
    • 33644782021 scopus 로고    scopus 로고
    • Functional clustering by Bayesian wavelet methods
    • Ray, S. and Mallick, B. (2006). Functional clustering by Bayesian wavelet methods. J. Roy. Statist. Soc. Ser. B 68, 305-322.
    • (2006) J. Roy. Statist. Soc. Ser. B , vol.68 , pp. 305-322
    • Ray, S.1    Mallick, B.2
  • 36
    • 60449108968 scopus 로고    scopus 로고
    • Bayesian nonparametric functional data analysis through density estimation
    • Rodriguez, A., Dunson, D. B. and Gelfand, A. E. (2009). Bayesian nonparametric functional data analysis through density estimation. Biometrika 96, 149-162.
    • (2009) Biometrika , vol.96 , pp. 149-162
    • Rodriguez, A.1    Dunson, D.B.2    Gelfand, A.E.3
  • 39
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • Sethuraman, J. (1994). A constructive definition of Dirichlet priors. Statist. Sinica 4, 639-50.
    • (1994) Statist. Sinica , vol.4 , pp. 639-50
    • Sethuraman, J.1
  • 40
    • 33847707418 scopus 로고    scopus 로고
    • Sampling the Dirichlet mixture model with slices
    • Walker, S. G. (2007). Sampling the Dirichlet mixture model with slices. Comm. Statist. Simulation Comput. 36, 45-54.
    • (2007) Comm. Statist. Simulation Comput. , vol.36 , pp. 45-54
    • Walker, S.G.1
  • 41
    • 0039713775 scopus 로고
    • On scale mixtures of normal distributions
    • West, M. (1987). On scale mixtures of normal distributions. Biometrika 74, 646-648.
    • (1987) Biometrika , vol.74 , pp. 646-648
    • West, M.1
  • 42
    • 0018100512 scopus 로고
    • Mathematical typology - Grade of membership technique for obtaining disease definition
    • Woodbury, M. A., Clive, J. and Garson, A. (1978). Mathematical typology - Grade of membership technique for obtaining disease definition. Computers and Biomedical Research 11, 277-298.
    • (1978) Computers and Biomedical Research , vol.11 , pp. 277-298
    • Woodbury, M.A.1    Clive, J.2    Garson, A.3


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