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Volumn 71, Issue 4, 2009, Pages 755-782

Hybrid dirichlet mixture models for functional data

Author keywords

Bayesian non parametrics; Dependent random partitions; Dirichlet process; Finite mixture models; Gaussian process; Labelling measures; Species sampling priors

Indexed keywords


EID: 68849114964     PISSN: 13697412     EISSN: 14679868     Source Type: Journal    
DOI: 10.1111/j.1467-9868.2009.00708.x     Document Type: Article
Times cited : (79)

References (37)
  • 1
    • 0000708831 scopus 로고
    • Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
    • Antoniak, C. E. (1974) Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems. Ann. Statist., 2, 1152 1174.
    • (1974) Ann. Statist. , vol.2 , pp. 1152-1174
    • Antoniak, C.E.1
  • 3
    • 34247624224 scopus 로고    scopus 로고
    • Almost sure convergence of random probability measures
    • Berti, P., Pratelli, L. Rigo, P. (2006) Almost sure convergence of random probability measures. Stochastics, 78, 91 97.
    • (2006) Stochastics , vol.78 , pp. 91-97
    • Berti, P.1    Pratelli, L.2    Rigo, P.3
  • 4
    • 66249124310 scopus 로고    scopus 로고
    • Bayesian semiparametric joint models for functional predictors
    • Bigelow, J. L. Dunson, D. B. (2009) Bayesian semiparametric joint models for functional predictors. J. Am. Statist. Ass., 104, 26 36.
    • (2009) J. Am. Statist. Ass. , vol.104 , pp. 26-36
    • Bigelow, J.L.1    Dunson, D.B.2
  • 5
    • 0000904732 scopus 로고    scopus 로고
    • A semi-parametric Bayesian model for randomized block designs
    • Bush, C. A. MacEachern, S. N. (1996) A semi-parametric Bayesian model for randomized block designs. Biometrika, 83, 275 285.
    • (1996) Biometrika , vol.83 , pp. 275-285
    • Bush, C.A.1    MacEachern, S.N.2
  • 6
    • 37549057387 scopus 로고    scopus 로고
    • Generalized spatial Dirichlet process models
    • Duan, J. A., Guindani, M. Gelfand, A. E. (2007) Generalized spatial Dirichlet process models. Biometrika, 94, 809 825.
    • (2007) Biometrika , vol.94 , pp. 809-825
    • Duan, J.A.1    Guindani, M.2    Gelfand, A.E.3
  • 7
    • 26644437226 scopus 로고    scopus 로고
    • Spatio-temporal modelling of localized brain activity
    • DuBois Bowman, F. (2005) Spatio-temporal modelling of localized brain activity. Biostatistics, 6, 558 575.
    • (2005) Biostatistics , vol.6 , pp. 558-575
    • Dubois Bowman, F.1
  • 8
    • 68849123601 scopus 로고    scopus 로고
    • Nonparametric Bayes local partition models for random effects
    • to be published.
    • Dunson, D. B. (2008) Nonparametric Bayes local partition models for random effects. Biometrika, to be published.
    • (2008) Biometrika
    • Dunson, D.B.1
  • 9
    • 40249086281 scopus 로고    scopus 로고
    • Kernel stick-breaking processes
    • Dunson, D. B. Park, J.-H. (2008) Kernel stick-breaking processes. Biometrika, 95, 307 323.
    • (2008) Biometrika , vol.95 , pp. 307-323
    • Dunson, D.B.1    Park, J.-H.2
  • 10
    • 42349087482 scopus 로고    scopus 로고
    • The matrix stick-breaking process: Flexible Bayes meta analysis
    • Dunson, D. B., Xue, Y. Carin, L. (2008) The matrix stick-breaking process: flexible Bayes meta analysis. J. Am. Statist. Ass., 103, 317 327.
    • (2008) J. Am. Statist. Ass. , vol.103 , pp. 317-327
    • Dunson, D.B.1    Xue, Y.2    Carin, L.3
  • 12
    • 0042671121 scopus 로고    scopus 로고
    • Posterior probability maps and SPMs
    • Friston, K. J. Penny, W. (2003) Posterior probability maps and SPMs. Neuroimage, 19, 1240 1249.
    • (2003) Neuroimage , vol.19 , pp. 1240-1249
    • Friston, K.J.1    Penny, W.2
  • 13
    • 24644441776 scopus 로고    scopus 로고
    • Bayesian nonparametric spatial modeling with Dirichlet processes mixing
    • Gelfand, A., Kottas, A. MacEachern, S. (2005) Bayesian nonparametric spatial modeling with Dirichlet processes mixing. J. Am. Statist. Ass., 100, 1021 1035.
    • (2005) J. Am. Statist. Ass. , vol.100 , pp. 1021-1035
    • Gelfand, A.1    Kottas, A.2    MacEachern, S.3
  • 14
    • 0036970574 scopus 로고    scopus 로고
    • Hidden Markov models and disease mapping
    • Green, P. J. Richardson, S. (2002) Hidden Markov models and disease mapping. J. Am. Statist. Ass., 97, 1055 1070.
    • (2002) J. Am. Statist. Ass. , vol.97 , pp. 1055-1070
    • Green, P.J.1    Richardson, S.2
  • 15
    • 33645509944 scopus 로고    scopus 로고
    • Order-based dependent Dirichlet processes
    • Griffin, J. Steel, M. (2006) Order-based dependent Dirichlet processes. J. Am. Statist. Ass., 101, 179 194.
    • (2006) J. Am. Statist. Ass. , vol.101 , pp. 179-194
    • Griffin, J.1    Steel, M.2
  • 16
    • 1842816362 scopus 로고    scopus 로고
    • Gibbs sampling methods for stick-breaking priors
    • Ishwaran, H. James, L. F. (2001) Gibbs sampling methods for stick-breaking priors. J. Am. Statist. Ass., 96, 161 173.
    • (2001) J. Am. Statist. Ass. , vol.96 , pp. 161-173
    • Ishwaran, H.1    James, L.F.2
  • 17
    • 24344452190 scopus 로고    scopus 로고
    • Some further developments for stick-breaking priors: Finite and infinite clustering and classification
    • Ishwaran, H. James, L. F. (2003) Some further developments for stick-breaking priors: finite and infinite clustering and classification. Sankhya A, 65, 577 592.
    • (2003) Sankhya A , vol.65 , pp. 577-592
    • Ishwaran, H.1    James, L.F.2
  • 18
    • 0036661094 scopus 로고    scopus 로고
    • Dirichlet prior sieves in finite Normal mixtures
    • Ishwaran, H. Zarepour, M. (2002) Dirichlet prior sieves in finite Normal mixtures. Statist. Sin., 12, 941 963.
    • (2002) Statist. Sin. , vol.12 , pp. 941-963
    • Ishwaran, H.1    Zarepour, M.2
  • 19
    • 0002453994 scopus 로고
    • Random discrete distributions (with discussion)
    • Kingman, J. F. C. (1975) Random discrete distributions (with discussion). J. R. Statist. Soc. B, 37, 1 22.
    • (1975) J. R. Statist. Soc. B , vol.37 , pp. 1-22
    • Kingman, J.F.C.1
  • 21
    • 2142738099 scopus 로고    scopus 로고
    • Decision theoretic aspects of dependent nonparametric processes
    • In. ed. E. George. pp. International Society for Bayesian Analysis.
    • MacEachern, S. N. (2001) Decision theoretic aspects of dependent nonparametric processes. In Bayesian Methods with Applications to Science, Policy, and Official Statistics (ed. E. George pp. 551 560. International Society for Bayesian Analysis.
    • (2001) Bayesian Methods with Applications to Science, Policy, and Official Statistics , pp. 551-560
    • MacEachern, S.N.1
  • 22
    • 68849102600 scopus 로고    scopus 로고
    • Discussion of ''Bayesian nonparametric modelling for spatial data using Dirichlet processes'', by Gelfand, Guindani and Petrone
    • In. eds. J. M. Bernardo. J. Bayarri. J. O. Berger. A. P. Dawid. D. Heckerman. A. F. M. Smith. M. West). Oxford. Oxford University Press.
    • MacEachern, S. N. (2007) Discussion of ''Bayesian nonparametric modelling for spatial data using Dirichlet processes'', by Gelfand, Guindani and Petrone. In Bayesian Statistics 8 (eds J. M. Bernardo, J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith M. West). Oxford : Oxford University Press.
    • (2007) Bayesian Statistics 8
    • MacEachern, S.N.1
  • 24
    • 0003937579 scopus 로고
    • Technical Report. Dipartimento di Economia Politica e Metodi Quantitativi, Università degli Studi di Pavia. Pavia.
    • Muliere, P. Secchi, P. (1995) A note on a proper Bayesian bootstrap. Technical Report. Dipartimento di Economia Politica e Metodi Quantitativi, Università degli Studi di Pavia, Pavia.
    • (1995) A Note on A Proper Bayesian Bootstrap
    • Muliere, P.1    Secchi, P.2
  • 25
    • 10844254626 scopus 로고    scopus 로고
    • Optimal sample size for multiple testing: The case of gene expression microarrays
    • Müller, P., Parmigiani, G., Robert, C. Rousseau, J. (2004) Optimal sample size for multiple testing: the case of gene expression microarrays. J. Am. Statist. Ass., 99, 990 1001.
    • (2004) J. Am. Statist. Ass. , vol.99 , pp. 990-1001
    • Müller, P.1    Parmigiani, G.2    Robert, C.3    Rousseau, J.4
  • 27
    • 0041399511 scopus 로고    scopus 로고
    • Bayesian inference for the uncertainty distribution of computer model outputs
    • Oakley, J. O'Hagan, A. (2002) Bayesian inference for the uncertainty distribution of computer model outputs. Biometrika, 89, 769 784.
    • (2002) Biometrika , vol.89 , pp. 769-784
    • Oakley, J.1    O'Hagan, A.2
  • 28
    • 0000130672 scopus 로고    scopus 로고
    • Some developments of the Blackwell-MacQueen urn scheme
    • In. eds. T. S. Ferguson. L. S. Shapley. J. B. MacQueen. pp. Hayward. Institute of Mathematical Statistics.
    • Pitman, J. (1996) Some developments of the Blackwell-MacQueen urn scheme. In Statistics, Probability and Game Theory; Papers in Honor of David Blackwell (eds T. S. Ferguson, L. S. Shapley J. B. MacQueen pp. 245 267. Hayward : Institute of Mathematical Statistics.
    • (1996) Statistics, Probability and Game Theory; Papers in Honor of David Blackwell , pp. 245-267
    • Pitman, J.1
  • 29
    • 68849086056 scopus 로고    scopus 로고
    • On a characterization of Dirichlet distribution
    • In. eds. S. K. Upadhyay. U. Singh. D. K. Dey. pp. Varanasi: Anshan.
    • Ramamoorthi, R. V. Sangalli, L. (2006) On a characterization of Dirichlet distribution. In Bayesian Statistics and Its Applications (eds S. K. Upadhyay, U. Singh D. K. Dey pp. 385 397. Varanasi: Anshan.
    • (2006) Bayesian Statistics and Its Applications , pp. 385-397
    • Ramamoorthi, R.V.1    Sangalli, L.2
  • 32
    • 33644782021 scopus 로고    scopus 로고
    • Functional clustering by Bayesian wavelet methods
    • Ray, S. Mallick, B. (2006) Functional clustering by Bayesian wavelet methods. J. R. Statist. Soc. B, 68, 305 332.
    • (2006) J. R. Statist. Soc. B , vol.68 , pp. 305-332
    • Ray, S.1    Mallick, B.2
  • 34
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • Sethuraman, J. (1994) A constructive definition of Dirichlet priors. Statist. Sin., 4, 639 650.
    • (1994) Statist. Sin. , vol.4 , pp. 639-650
    • Sethuraman, J.1
  • 35
    • 45449097427 scopus 로고    scopus 로고
    • Curve prediction and clustering with mixtures of Gaussian process functional regression models
    • Shi, J. Q. Wang, B. (2008) Curve prediction and clustering with mixtures of Gaussian process functional regression models. Statist. Comput., 18, 267 283.
    • (2008) Statist. Comput. , vol.18 , pp. 267-283
    • Shi, J.Q.1    Wang, B.2
  • 37
    • 0029096148 scopus 로고
    • Analysis of fMRI time-series revisited - Again
    • Worsley, K. J. Friston, K. J. (1995) Analysis of fMRI time-series revisited - again. Neuroimage, 2, 173 181.
    • (1995) Neuroimage , vol.2 , pp. 173-181
    • Worsley, K.J.1    Friston, K.J.2


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