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Volumn 65, Issue 2, 2011, Pages 115-126

Using infer.NET for statistical analyses

Author keywords

Bayesian inference; Expectation propagation; Mean field approximation; Variational bayes

Indexed keywords


EID: 79960967276     PISSN: 00031305     EISSN: None     Source Type: Journal    
DOI: 10.1198/tast.2011.10169     Document Type: Article
Times cited : (17)

References (22)
  • 1
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    • 118
    • Albert, J. H., and Chib, S. (1993), ''Bayesian Analysis of Binary and Polychotomous Response Data,'' Journal of the American Statistical Association, 88, 669-679.[118]
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    • Albert, J.H.1    Chib, S.2
  • 5
    • 0006407254 scopus 로고    scopus 로고
    • Win bugs-a bayesian modelling framework: Concepts, structure, and extensibility
    • 115
    • Lunn, D. J., Thomas, A., Best, N., and Spiegelhalter, D. (2000), ''WinBUGS-A Bayesian Modelling Framework: Concepts, Structure, and Extensibility,'' Statistics and Computing, 10, 325-337.[115]
    • (2000) Statistics and Computing , vol.10 , pp. 325-337
    • Lunn, D.J.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 7
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate Bayesian inference
    • Seattle: University of Washington, 115
    • Minka, T. P. (2001), ''Expectation Propagation for Approximate Bayesian Inference,'' in Proceedings of Conference on Uncertainty in Artificial Intelligence, Seattle: University of Washington, pp. 362-369. [115]
    • (2001) Proceedings of Conference on Uncertainty in Artificial Intelligence , pp. 362-369
    • Minka, T.P.1
  • 8
    • 79959874165 scopus 로고    scopus 로고
    • Microsoft Research Cambridge, Cambridge, U.K., available at, 115
    • Minka, T., Winn, J., Guiver, J., and Knowles, D. (2010), ''Infer.Net 2.4,'' Microsoft Research Cambridge, Cambridge, U.K., available at http://research.microsoft.com/infernet.[115]
    • (2010) Infer.Net 2.4
    • Minka, T.1    Winn, J.2    Guiver, J.3    Knowles, D.4
  • 9
    • 77952563168 scopus 로고    scopus 로고
    • Explaining variational approximations
    • 115,120
    • Ormerod, J. T., and Wand, M. P. (2010), ''Explaining Variational Approximations,'' The American Statistician, 64, 140-153.[115,120]
    • (2010) The American Statistician , vol.64 , pp. 140-153
    • Ormerod, J.T.1    Wand, M.P.2
  • 13
    • 79951480123 scopus 로고    scopus 로고
    • R Development Core Team, Vienna, Austria: R Foundation for Statistical Computing, ISBN 3-900051-07-0, available at, 119
    • R Development Core Team (2010), R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing, ISBN 3-900051-07-0, available at http://www.R-project.org.[119]
    • (2010) R: A Language and Environment for Statistical Computing
  • 17
    • 13444302396 scopus 로고    scopus 로고
    • R2win bugs: A package for running win bugs from R
    • 124
    • Sturtz, S., Ligges, U., and Gelman, A. (2005), ''R2WinBUGS: A Package for Running WinBUGS From R,'' Journal of Statistical Software, 12 (3), 1-16.[124]
    • (2005) Journal of Statistical Software , vol.12 , Issue.3 , pp. 1-16
    • Sturtz, S.1    Ligges, U.2    Gelman, A.3
  • 19
  • 20
    • 79960956308 scopus 로고    scopus 로고
    • Kernsmooth 2.23
    • Functions for Kernel Smoothing Corresponding to the Book: Wand, M. P. and Jones, M. C. (1995), R package, available at, 117
    • Wand, M. P., and Ripley, B. D. (2010), ''KernSmooth 2.23. Functions for Kernel Smoothing Corresponding to the Book: Wand, M. P. and Jones, M. C. (1995), Kernel Smoothing,'' R package, available at http://cran.r-project.org.[117]
    • (2010) Kernel Smoothing
    • Wand, M.P.1    Ripley, B.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.