메뉴 건너뛰기




Volumn 61, Issue 4, 2012, Pages 619-635

A sparse factor analytic probit model for congressional voting patterns

Author keywords

Covariance estimation; Factor models; Multivariate probit models; Voting patterns

Indexed keywords


EID: 84864101718     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2012.01044.x     Document Type: Article
Times cited : (21)

References (33)
  • 1
    • 0034413190 scopus 로고    scopus 로고
    • Bayesian dynamic factor models and variance matrix discounting for portfolio allocation
    • Aguilar, O. and West, M. (2000) Bayesian dynamic factor models and variance matrix discounting for portfolio allocation. J. Bus. Econ. Statist., 18, 338-357.
    • (2000) J. Bus. Econ. Statist. , vol.18 , pp. 338-357
    • Aguilar, O.1    West, M.2
  • 2
    • 0014841634 scopus 로고
    • Multivariate probit analysis
    • Ashford, J. and Sowden, R. (1970) Multivariate probit analysis. Biometrics, 26, 535-546.
    • (1970) Biometrics , vol.26 , pp. 535-546
    • Ashford, J.1    Sowden, R.2
  • 4
    • 0030451789 scopus 로고    scopus 로고
    • High-dimensional multivariate probit analysis
    • Bock, R. D. and Gibbons, R. D. (1996) High-dimensional multivariate probit analysis. Biometrics, 52, 1183-1194.
    • (1996) Biometrics , vol.52 , pp. 1183-1194
    • Bock, R.D.1    Gibbons, R.D.2
  • 5
    • 62549125109 scopus 로고    scopus 로고
    • High-dimensional sparse factor modelling: applications in gene expression genomics
    • Carvalho, C. M., Lucas, J., Wang, Q., Nevins, J. and West, M. (2008) High-dimensional sparse factor modelling: applications in gene expression genomics. J. Am. Statist. Ass., 103, 1438-1456.
    • (2008) J. Am. Statist. Ass. , vol.103 , pp. 1438-1456
    • Carvalho, C.M.1    Lucas, J.2    Wang, Q.3    Nevins, J.4    West, M.5
  • 6
    • 0000911137 scopus 로고    scopus 로고
    • Analysis of multivariate probit models
    • Chib, S. and Greenberg, E. (1998) Analysis of multivariate probit models. Biometrika, 85, 347-361.
    • (1998) Biometrika , vol.85 , pp. 347-361
    • Chib, S.1    Greenberg, E.2
  • 7
    • 3042802228 scopus 로고    scopus 로고
    • The statistical analysis of roll call data
    • Clinton, J., Jackman, S. and Rivers, D. (2004a) The statistical analysis of roll call data. Am. Polit. Sci. Rev., 98, 355-370.
    • (2004) Am. Polit. Sci. Rev. , vol.98 , pp. 355-370
    • Clinton, J.1    Jackman, S.2    Rivers, D.3
  • 8
    • 8644291656 scopus 로고    scopus 로고
    • ''The most liberal senator''?: analyzing and interpreting congressional roll calls
    • Clinton, J., Jackman, S. and Rivers, D. (2004b) ''The most liberal senator''?: analyzing and interpreting congressional roll calls. Polit. Sci. Polit., 37, 805-811.
    • (2004) Polit. Sci. Polit. , vol.37 , pp. 805-811
    • Clinton, J.1    Jackman, S.2    Rivers, D.3
  • 9
    • 0011589210 scopus 로고
    • A factor-analytic probit model for representing the market structure in panel data
    • Elrod, T. and Keane, M. P. (1995) A factor-analytic probit model for representing the market structure in panel data. J. Marktng Res., 32, 1-16.
    • (1995) J. Marktng Res. , vol.32 , pp. 1-16
    • Elrod, T.1    Keane, M.P.2
  • 10
    • 84950453304 scopus 로고
    • Sampling based approaches to calculating marginal densities
    • Gelfand, A. E. and Smith, A. F. M. (1990) Sampling based approaches to calculating marginal densities. J. Am. Statist. Ass., 85, 398-409.
    • (1990) J. Am. Statist. Ass. , vol.85 , pp. 398-409
    • Gelfand, A.E.1    Smith, A.F.M.2
  • 11
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
    • Geman, S. and Geman, D. (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Pattn Anal. Mach. Intell., 6, 721-741.
    • (1984) IEEE Trans. Pattn Anal. Mach. Intell. , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 12
    • 84893179575 scopus 로고
    • Variable selection via Gibbs sampling
    • George, E. I. and McCulloch, R. E. (1993) Variable selection via Gibbs sampling. J. Am. Statist. Ass., 88, 881-889.
    • (1993) J. Am. Statist. Ass. , vol.88 , pp. 881-889
    • George, E.I.1    McCulloch, R.E.2
  • 13
    • 0030539706 scopus 로고    scopus 로고
    • Measuring the pricing error of the arbitrage pricing theory
    • Geweke, J. and Zhou, G. (1996) Measuring the pricing error of the arbitrage pricing theory. Rev. Finan. Stud., 9, 557-587.
    • (1996) Rev. Finan. Stud. , vol.9 , pp. 557-587
    • Geweke, J.1    Zhou, G.2
  • 15
    • 22944460748 scopus 로고    scopus 로고
    • Spike and slab variable selection: frequentist and Bayesian strategies
    • Ishwaran, H. and Rao, J. S. (2005) Spike and slab variable selection: frequentist and Bayesian strategies. Ann. Statist., 33, 730-773.
    • (2005) Ann. Statist. , vol.33 , pp. 730-773
    • Ishwaran, H.1    Rao, J.S.2
  • 16
    • 3042714392 scopus 로고    scopus 로고
    • Multidimensional analysis of roll call data via Bayesian simulation: identification, estimation, inference, and model checking
    • no. 3.
    • Jackman, S. (2001) Multidimensional analysis of roll call data via Bayesian simulation: identification, estimation, inference, and model checking. Polit. Anal., 9, no. 3.
    • (2001) Polit. Anal. , vol.9
    • Jackman, S.1
  • 19
    • 0025783904 scopus 로고
    • Multivariate probit analysis: a neglected procedure in medical statistics
    • Lesaffre, E. and Molenberghs, G. (1991) Multivariate probit analysis: a neglected procedure in medical statistics. Statist. Med., 10, 1391-1403.
    • (1991) Statist. Med. , vol.10 , pp. 1391-1403
    • Lesaffre, E.1    Molenberghs, G.2
  • 20
    • 80051733595 scopus 로고    scopus 로고
    • Factor models: an annotated bibliography
    • Aug.
    • Lopes, H. (2003) Factor models: an annotated bibliography. Bull. Int. Soc. Baysn Anal., Aug., 1-4.
    • (2003) Bull. Int. Soc. Baysn Anal. , pp. 1-4
    • Lopes, H.1
  • 22
    • 0000130839 scopus 로고
    • Bayesian variable selection in linear regression (with discussion)
    • Mitchell, T. and Beauchamp, J. (1988) Bayesian variable selection in linear regression (with discussion). J. Am. Statist. Ass., 83, 1023-1036.
    • (1988) J. Am. Statist. Ass. , vol.83 , pp. 1023-1036
    • Mitchell, T.1    Beauchamp, J.2
  • 24
    • 23844490498 scopus 로고    scopus 로고
    • Bayesian factor analysis for mixed ordinal and continuous responses
    • Quinn, K. M. (2004) Bayesian factor analysis for mixed ordinal and continuous responses. Polit. Anal., 12, 338-353.
    • (2004) Polit. Anal. , vol.12 , pp. 338-353
    • Quinn, K.M.1
  • 25
    • 62349133125 scopus 로고    scopus 로고
    • Flexible covariance estimation in graphical Gaussian models
    • Rajaratnam, B., Massam, H. and Carvalho, C. M. (2008) Flexible covariance estimation in graphical Gaussian models. Ann. Statist., 36, 2818-2849.
    • (2008) Ann. Statist. , vol.36 , pp. 2818-2849
    • Rajaratnam, B.1    Massam, H.2    Carvalho, C.M.3
  • 27
    • 33644910161 scopus 로고    scopus 로고
    • An exploration of aspects of Bayesian multiple testing
    • Scott, J. G. and Berger, J. O. (2006) An exploration of aspects of Bayesian multiple testing. J. Statist. Planng Inf., 136, 2144-2162.
    • (2006) J. Statist. Planng Inf. , vol.136 , pp. 2144-2162
    • Scott, J.G.1    Berger, J.O.2
  • 28
    • 77953071298 scopus 로고    scopus 로고
    • Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
    • Scott, J. G. and Berger, J. O. (2010) Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem. Ann. Statist., 38, 2587-2619.
    • (2010) Ann. Statist. , vol.38 , pp. 2587-2619
    • Scott, J.G.1    Berger, J.O.2
  • 29
    • 0035514102 scopus 로고    scopus 로고
    • Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations
    • Song, X. and Lee, S. (2001) Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations. Br. J. Math. Statist. Psychol., 54, 237-263.
    • (2001) Br. J. Math. Statist. Psychol. , vol.54 , pp. 237-263
    • Song, X.1    Lee, S.2
  • 30
    • 27144553773 scopus 로고    scopus 로고
    • A multivariate probit latent variable model for analyzing dichotomous responses
    • Song, X.-Y. and Lee, S.-Y. (2005) A multivariate probit latent variable model for analyzing dichotomous responses. Statist. Sin., 15, 645-664.
    • (2005) Statist. Sin. , vol.15 , pp. 645-664
    • Song, X.-Y.1    Lee, S.-Y.2
  • 31
    • 0000600340 scopus 로고
    • General intelligence, objectively determined and measured
    • Spearman, C. (1904) General intelligence, objectively determined and measured. Am. J. Psychol., 15, 201-293.
    • (1904) Am. J. Psychol. , vol.15 , pp. 201-293
    • Spearman, C.1
  • 32
    • 84879111725 scopus 로고    scopus 로고
    • Objective priors for the multivariate normal model
    • In (eds J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West). Oxford: Oxford University Press.
    • Sun, D. and Berger, J. O. (2006) Objective priors for the multivariate normal model. In Bayesian Statistics 8 (eds J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West ). Oxford: Oxford University Press.
    • (2006) Bayesian Statistics 8
    • Sun, D.1    Berger, J.O.2
  • 33
    • 0242295767 scopus 로고    scopus 로고
    • Bayesian factor regression models in the ''large p, small n'' paradigm
    • In (eds J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West) Oxford: Oxford University Press.
    • West, M. (2003) Bayesian factor regression models in the ''large p, small n'' paradigm. In Bayesian Statistics 7 (eds J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West ), pp. 723-732. Oxford: Oxford University Press.
    • (2003) Bayesian Statistics 7 , pp. 723-732
    • West, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.