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Volumn , Issue , 2008, Pages

Bayesian Analysis

Author keywords

Bayesian method; Markov Chain Monte Carlo methods; Political science; Social sciences; Software; Statistical models

Indexed keywords


EID: 78650360457     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/oxfordhb/9780199286546.003.0021     Document Type: Chapter
Times cited : (4)

References (36)
  • 1
    • 0043096621 scopus 로고    scopus 로고
    • Assessing convergence of Markov chain Monte Carlo algorithms
    • BROOKS, S. P., and ROBERTS, G. O. 1998. Assessing convergence of Markov chain Monte Carlo algorithms. Statistics and Computing, 8: 319-35.
    • (1998) Statistics and Computing , vol.8 , pp. 319-335
    • Brooks, S.P.1    Roberts, G.O.2
  • 3
    • 0003122168 scopus 로고    scopus 로고
    • Estimation and comparison of multiple change-point models
    • CHIB, S. 1998. Estimation and comparison of multiple change-point models. Journal of Econometrics, 86: 221-41.
    • (1998) Journal of Econometrics , vol.86 , pp. 221-241
    • Chib, S.1
  • 4
    • 32344446687 scopus 로고
    • Understanding the Metropolis-Hastings algorithm
    • CHIB, S., and GREENBERG, E. 1995. Understanding the Metropolis-Hastings algorithm. American Statistician, 49: 327-36.
    • (1995) American Statistician , vol.49 , pp. 327-336
    • Chib, S.1    Greenberg, E.2
  • 11
    • 27844567796 scopus 로고    scopus 로고
    • Elicited priors for Bayesian model specifications in political science research
    • GILL, J., and WALKER, L. D. 2005. Elicited priors for Bayesian model specifications in political science research. Journal of Politics, 67: 841-72.
    • (2005) Journal of Politics , vol.67 , pp. 841-872
    • Gill, J.1    Walker, L.D.2
  • 12
    • 77956889087 scopus 로고
    • Reversible jump Markov Chain Monte Carlo computation and Bayesian model determination
    • GREEN, P. J. 1995. Reversible jump Markov Chain Monte Carlo computation and Bayesian model determination. Biometrika, 82: 711-32.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 13
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov Chains and their applications
    • HASTINGS, W. K. 1979. Monte Carlo sampling methods using Markov Chains and their applications. Biometrika, 57: 97-109.
    • (1979) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 14
    • 0347574107 scopus 로고    scopus 로고
    • Estimation and inference via Bayesian simulation: an introduction to Markov Chain Monte Carlo
    • JACKMAN, S. 2000. Estimation and inference via Bayesian simulation: an introduction to Markov Chain Monte Carlo. American Journal of Political Science, 44: 369-98.
    • (2000) American Journal of Political Science , vol.44 , pp. 369-398
    • Jackman, S.1
  • 15
    • 3142698527 scopus 로고    scopus 로고
    • Bayesian analysis for political research
    • JACKMAN, S. 2004. Bayesian analysis for political research. Annual Reviews of Political Science, 7: 483-505.
    • (2004) Annual Reviews of Political Science , vol.7 , pp. 483-505
    • Jackman, S.1
  • 18
    • 0034409890 scopus 로고    scopus 로고
    • Making the most of statistical analyses: improving interpretation and presentation
    • KING, G., TOMZ, M., and WITTENBERG, J. 2000. Making the most of statistical analyses: improving interpretation and presentation. American Journal of Political Science, 44: 341-55.
    • (2000) American Journal of Political Science , vol.44 , pp. 341-355
    • King, G.1    Tomz, M.2    Wittenberg, J.3
  • 19
    • 0038097605 scopus 로고    scopus 로고
    • Dynamic ideal point estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999
    • MARTIN, A. D., and QUINN, K. M. 2002. Dynamic ideal point estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999. Political Analysis, 10: 134-53.
    • (2002) Political Analysis , vol.10 , pp. 134-153
    • Martin, A.D.1    Quinn, K.M.2
  • 25
    • 0033211785 scopus 로고    scopus 로고
    • Voter choice in multi-party democracies: a test of competing theories and models
    • QUINN, K. M., MARTIN, A. D., and WHITFORD, A. B. 1999. Voter choice in multi-party democracies: a test of competing theories and models. American Journal of Political Science, 43: 1231-47.
    • (1999) American Journal of Political Science , vol.43 , pp. 1231-1247
    • Quinn, K.M.1    Martin, A.D.2    Whitford, A.B.3
  • 27
    • 0001201909 scopus 로고
    • Bayesian model selection in social research
    • RAFTERY, A. 1995. Bayesian model selection in social research. Sociological Methodology, 25: 111-96.
    • (1995) Sociological Methodology , vol.25 , pp. 111-196
    • Raftery, A.1
  • 29
    • 0033247030 scopus 로고    scopus 로고
    • Testing theories of strategic choice: the example of crisis escalation
    • SMITH, A. 1999. Testing theories of strategic choice: the example of crisis escalation. American Journal of Political Science, 43: 1254-83.
    • (1999) American Journal of Political Science , vol.43 , pp. 1254-1283
    • Smith, A.1
  • 31
    • 11144253051 scopus 로고    scopus 로고
    • WinBUGS
    • Version 1.4.1
    • THOMAS, A., BEST, N., and LUNN, D. 2004. WinBUGS. Version 1.4.1.
    • (2004)
    • Thomas, A.1    Best, N.2    Lunn, D.3
  • 34
    • 0000576595 scopus 로고
    • Markov Chains for exploring posterior distributions
    • TIERNEY, L. 1994. Markov Chains for exploring posterior distributions. Annals of Statistics, 22: 1701-62.
    • (1994) Annals of Statistics , vol.22 , pp. 1701-1762
    • Tierney, L.1
  • 35
    • 0032220432 scopus 로고    scopus 로고
    • Causal heterogeneity in comparative research: a Bayesian hierarchical modelling approach
    • WESTERN, B. 1998. Causal heterogeneity in comparative research: a Bayesian hierarchical modelling approach. American Journal of Political Science, 42: 1233-59.
    • (1998) American Journal of Political Science , vol.42 , pp. 1233-1259
    • Western, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.