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Volumn 180, Issue 1, 2014, Pages 49-72

Beta-product dependent Pitman-Yor processes for Bayesian inference

Author keywords

Bayesian non parametrics; Dirichlet process; Panel vector autoregressive process; Pitman Yor process; Stick breaking process

Indexed keywords

BAYESIAN NETWORKS; TIME SERIES ANALYSIS;

EID: 84898011659     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2014.01.007     Document Type: Article
Times cited : (52)

References (53)
  • 3
    • 1842737005 scopus 로고    scopus 로고
    • Forecasting and turning point prediction in a Bayesian panel VAR model
    • F. Canova, and M. Ciccarelli Forecasting and turning point prediction in a Bayesian panel VAR model J. Econometrics 120 2 2004 327 359
    • (2004) J. Econometrics , vol.120 , Issue.2 , pp. 327-359
    • Canova, F.1    Ciccarelli, M.2
  • 4
    • 0000484254 scopus 로고
    • Hierarchical analysis of sur models with extensions to correlated serial errors and time-varying parameter models
    • S. Chib, and E. Greenberg Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models J. Econometrics 68 1995 339 360
    • (1995) J. Econometrics , vol.68 , pp. 339-360
    • Chib, S.1    Greenberg, E.2
  • 5
    • 0011335167 scopus 로고
    • Problemi statistici non parametrici in condizioni di scambiabilità parziale: Impiego di medie associative
    • Università di Torino
    • D.M. Cifarelli, and E. Regazzini Problemi statistici non parametrici in condizioni di scambiabilità parziale: impiego di medie associative Quaderni Istituto di Matematica Finanziaria, Vol. 12 1978 Università di Torino
    • (1978) Quaderni Istituto di Matematica Finanziaria, Vol. 12
    • Cifarelli, D.M.1    Regazzini, E.2
  • 6
    • 33845756481 scopus 로고    scopus 로고
    • Model-based clustering for expression data via a Dirichlet process mixture model
    • K.-A. Do, P.P. Müller, M. Vannucci, Cambridge University Press
    • D.B. Dahl Model-based clustering for expression data via a Dirichlet process mixture model K.-A. Do, P.P. Müller, M. Vannucci, Bayesian Inference for Gene Expression and Proteomics 2006 Cambridge University Press 201 218
    • (2006) Bayesian Inference for Gene Expression and Proteomics , pp. 201-218
    • Dahl, D.B.1
  • 8
    • 37549057387 scopus 로고    scopus 로고
    • Generalized spatial Dirichlet process models
    • J.A. Duan, M. Guidani, and A.E. Gelfand Generalized spatial Dirichlet process models Biometrika 94 2007 809 825
    • (2007) Biometrika , vol.94 , pp. 809-825
    • Duan, J.A.1    Guidani, M.2    Gelfand, A.E.3
  • 10
    • 84950937290 scopus 로고
    • Bayesian density estimation and inference using mixtures
    • M.D. Escobar, and M. West Bayesian density estimation and inference using mixtures J. Amer. Statist. Assoc. 90 1995 577 588
    • (1995) J. Amer. Statist. Assoc. , vol.90 , pp. 577-588
    • Escobar, M.D.1    West, M.2
  • 11
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • T.S. Ferguson 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
  • 13
    • 24644441776 scopus 로고    scopus 로고
    • Bayesian nonparametric spatial modeling with Dirichlet process mixing
    • A.E. Gelfand, A. Kottas, and S.N. MacEachern Bayesian nonparametric spatial modeling with Dirichlet process mixing J. Amer. Statist. Assoc. 100 2004 1021 1035
    • (2004) J. Amer. Statist. Assoc. , vol.100 , pp. 1021-1035
    • Gelfand, A.E.1    Kottas, A.2    Maceachern, S.N.3
  • 14
    • 77649275547 scopus 로고    scopus 로고
    • Comparing and evaluating Bayesian predictive distributions of asset returns
    • J. Geweke, and G. Amisano Comparing and evaluating Bayesian predictive distributions of asset returns Int. J. Forecast. 26 2 2010 216 230
    • (2010) Int. J. Forecast. , vol.26 , Issue.2 , pp. 216-230
    • Geweke, J.1    Amisano, G.2
  • 15
    • 33947274775 scopus 로고    scopus 로고
    • Strictly proper scoring rules, prediction, and estimation
    • T.G. Gneiting, and A.E. Raftery Strictly proper scoring rules, prediction, and estimation J. Amer. Statist. Assoc. 102 477 2007 359 378
    • (2007) J. Amer. Statist. Assoc. , vol.102 , Issue.477 , pp. 359-378
    • Gneiting, T.G.1    Raftery, A.E.2
  • 16
    • 79960161144 scopus 로고    scopus 로고
    • Inference in infinite superpositions of non-Gaussian Ornstein-Uhlenbeck processes using Bayesian nonparametic methods
    • J.E. Griffin Inference in infinite superpositions of non-Gaussian Ornstein-Uhlenbeck processes using Bayesian nonparametic methods J. Financ. Econom. 1 2011 1 31
    • (2011) J. Financ. Econom. , vol.1 , pp. 1-31
    • Griffin, J.E.1
  • 17
  • 18
    • 79955061234 scopus 로고    scopus 로고
    • Stick-breaking autoregressive processes
    • J.E. Griffin, and M.F.J. Steel Stick-breaking autoregressive processes J. Econometrics 162 2011 383 396
    • (2011) J. Econometrics , vol.162 , pp. 383-396
    • Griffin, J.E.1    Steel, M.F.J.2
  • 19
    • 0001342006 scopus 로고
    • A new approach to the economic analysis of nonstationary time series and the business cycle
    • J.D. Hamilton A new approach to the economic analysis of nonstationary time series and the business cycle Econometrica 57 1989 357 384
    • (1989) Econometrica , vol.57 , pp. 357-384
    • Hamilton, J.D.1
  • 20
    • 0036208897 scopus 로고    scopus 로고
    • Dissecting the cycle: A methodological investigation
    • D. Harding, and A. Pagan Dissecting the cycle: a methodological investigation J. Monetary Econ. 49 2002 365 381
    • (2002) J. Monetary Econ. , vol.49 , pp. 365-381
    • Harding, D.1    Pagan, A.2
  • 22
    • 0036214583 scopus 로고    scopus 로고
    • Semiparametric Bayesian inference in autoregressive panel data models
    • K. Hirano Semiparametric Bayesian inference in autoregressive panel data models Econometrica 70 2 2002 781 799
    • (2002) Econometrica , vol.70 , Issue.2 , pp. 781-799
    • Hirano, K.1
  • 24
    • 1842816362 scopus 로고    scopus 로고
    • Gibbs sampling methods for stick-breaking priors
    • H. Ishwaran, and L.F. James Gibbs sampling methods for stick-breaking priors J. Amer. Statist. Assoc. 96 2001 161 173
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 161-173
    • Ishwaran, H.1    James, L.F.2
  • 25
    • 77953871493 scopus 로고    scopus 로고
    • Bayesian semiparametric stochastic volatility modeling
    • J.M. Jensen, and M.J. Maheu Bayesian semiparametric stochastic volatility modeling J. Econometrics 157 2010 306 316
    • (2010) J. Econometrics , vol.157 , pp. 306-316
    • Jensen, J.M.1    Maheu, M.J.2
  • 27
    • 84872600070 scopus 로고    scopus 로고
    • On Bayesian nonparametric modelling of two correlated distributions
    • M. Kolossiatis, J. Griffin, and M.F.J. Steel On Bayesian nonparametric modelling of two correlated distributions Stat. Comput. 23 2013 1 15
    • (2013) Stat. Comput. , vol.23 , pp. 1-15
    • Kolossiatis, M.1    Griffin, J.2    Steel, M.F.J.3
  • 29
    • 78651251891 scopus 로고    scopus 로고
    • Vectors of Poisson Dirichlet processes
    • F. Leisen, and A. Lijoi Vectors of Poisson Dirichlet processes J. Multivariate Anal. 102 2011 482 495
    • (2011) J. Multivariate Anal. , vol.102 , pp. 482-495
    • Leisen, F.1    Lijoi, A.2
  • 30
    • 84952504842 scopus 로고
    • Forecasting with Bayesian vector autoregressions-five years of experience
    • R. Litterman Forecasting with Bayesian vector autoregressions-five years of experience J. Bus. Econ. Stat. 4 1986 25 38
    • (1986) J. Bus. Econ. Stat. , vol.4 , pp. 25-38
    • Litterman, R.1
  • 31
    • 0001876649 scopus 로고
    • On a class of Bayesian nonparametric estimates: I. Density estimates
    • A.Y. Lo On a class of Bayesian nonparametric estimates: I. Density estimates Ann. Statist. 12 1984 351 357
    • (1984) Ann. Statist. , vol.12 , pp. 351-357
    • Lo, A.Y.1
  • 34
    • 0006380771 scopus 로고
    • An autoregressive process for beta random variables
    • E. McKenzie An autoregressive process for beta random variables Manag. Sci. 31 1985 988 997
    • (1985) Manag. Sci. , vol.31 , pp. 988-997
    • McKenzie, E.1
  • 35
    • 0001858216 scopus 로고
    • Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates
    • C. Min, and A. Zellner Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates J. Econometrics 56 1993 89 118
    • (1993) J. Econometrics , vol.56 , pp. 89-118
    • Min, C.1    Zellner, A.2
  • 36
    • 3543010206 scopus 로고    scopus 로고
    • A method for combining inference across related nonparametric Bayesian models
    • P. Müller, F. Quintana, and G. Rosner A method for combining inference across related nonparametric Bayesian models J. R. Stat. Soc. Ser. B 66 2004 735 749
    • (2004) J. R. Stat. Soc. Ser. B , vol.66 , pp. 735-749
    • Müller, P.1    Quintana, F.2    Rosner, G.3
  • 37
    • 29344443090 scopus 로고    scopus 로고
    • Some bivariate beta distributions
    • S. Nadarajah, and S. Kotz Some bivariate beta distributions Statistics 39 2005 457 466
    • (2005) Statistics , vol.39 , pp. 457-466
    • Nadarajah, S.1    Kotz, S.2
  • 38
    • 84889100973 scopus 로고    scopus 로고
    • Bayesian inference with dependent normalized completely random measures
    • (in press)
    • B. Nipoti, A. Lijoi, and I. Pruenster Bayesian inference with dependent normalized completely random measures Bernoulli 2014 (in press)
    • (2014) Bernoulli
    • Nipoti, B.1    Lijoi, A.2    Pruenster, I.3
  • 39
    • 0037405514 scopus 로고    scopus 로고
    • A bivariate beta distribution
    • I. Olkin, and R. Liu A bivariate beta distribution Statist. Probab. Lett. 62 2003 407 412
    • (2003) Statist. Probab. Lett. , vol.62 , pp. 407-412
    • Olkin, I.1    Liu, R.2
  • 41
    • 33745310764 scopus 로고    scopus 로고
    • Combinatorial stochastic processes
    • Springer-Verlag Berlin
    • J. Pitman Combinatorial stochastic processes Lecture Notes in Mathematics vol. 1875 2006 Springer-Verlag Berlin
    • (2006) Lecture Notes in Mathematics , vol.1875 VOL.
    • Pitman, J.1
  • 42
    • 0031534984 scopus 로고    scopus 로고
    • The two parameter Poisson-Dirichlet distribution derived from a stable subordinator
    • J. Pitman, and M. Yor The two parameter Poisson-Dirichlet distribution derived from a stable subordinator Ann. Probab. 25 1997 855 900
    • (1997) Ann. Probab. , vol.25 , pp. 855-900
    • Pitman, J.1    Yor, M.2
  • 43
    • 0008863274 scopus 로고
    • On some problems arising out of discrimination with multiple characters
    • C. Radhakrishna Rao On some problems arising out of discrimination with multiple characters Sankhya 4 1949 343 366
    • (1949) Sankhya , vol.4 , pp. 343-366
    • Radhakrishna Rao, C.1
  • 46
    • 61749097176 scopus 로고    scopus 로고
    • Bayesian dynamics density estimation
    • A. Rodriguez, and E. ter Horst Bayesian dynamics density estimation Bayesian Anal. 3 2008 339 366
    • (2008) Bayesian Anal. , vol.3 , pp. 339-366
    • Rodriguez, A.1    Ter Horst, E.2
  • 47
    • 0000720609 scopus 로고
    • A constructive definition of the Dirichlet process prior
    • J. Sethuraman A constructive definition of the Dirichlet process prior Statist. Sinica 2 1994 639 650
    • (1994) Statist. Sinica , vol.2 , pp. 639-650
    • Sethuraman, J.1
  • 48
    • 0347466670 scopus 로고    scopus 로고
    • Bayesian methods for dynamic multivariate models
    • C.A. Sims, and T. Zha Bayesian methods for dynamic multivariate models Internat. Econom. Rev. 39 4 1998 949 968
    • (1998) Internat. Econom. Rev. , vol.39 , Issue.4 , pp. 949-968
    • Sims, C.A.1    Zha, T.2
  • 49
    • 78651304323 scopus 로고    scopus 로고
    • An auto-regressive mixture model for dynamic spatial Poisson processes: Application to tracking the intensity of violent crime
    • M.A. Taddy An auto-regressive mixture model for dynamic spatial Poisson processes: application to tracking the intensity of violent crime J. Amer. Statist. Assoc. 105 2010 1403 1427
    • (2010) J. Amer. Statist. Assoc. , vol.105 , pp. 1403-1427
    • Taddy, M.A.1
  • 50
    • 79955065347 scopus 로고    scopus 로고
    • Markov switching Dirichlet process mixture regression
    • M.A. Taddy, and A. Kottas Markov switching Dirichlet process mixture regression Bayesian Anal. 4 2009 793 816
    • (2009) Bayesian Anal. , vol.4 , pp. 793-816
    • Taddy, M.A.1    Kottas, A.2
  • 52
    • 79952135833 scopus 로고    scopus 로고
    • The multivariate beta process and an extension of the Polya tree model
    • L. Trippa, P. Müller, and W. Johnson The multivariate beta process and an extension of the Polya tree model Biometrika 98 2011 17 34
    • (2011) Biometrika , vol.98 , pp. 17-34
    • Trippa, L.1    Müller, P.2    Johnson, W.3
  • 53
    • 33847707418 scopus 로고    scopus 로고
    • Sampling the Dirichlet mixture model with slices
    • S.G. Walker Sampling the Dirichlet mixture model with slices Comm. Statist. Simulation Comput. 36 2007 45 54
    • (2007) Comm. Statist. Simulation Comput. , vol.36 , pp. 45-54
    • Walker, S.G.1


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