Aspects of likelihood inference

Preprint, Other literature type English OPEN
Reid, Nancy (2013)
  • Publisher: Bernoulli Society for Mathematical Statistics and Probability
  • Journal: (issn: 1350-7265)
  • Related identifiers: doi: 10.3150/12-BEJSP03
  • Subject: Mathematics - Statistics Theory | $r^{*}$ approximation | approximate pivotal quantities | Statistics - Methodology | composite likelihood | parametric inference | Laplace approximation | nuisance parameter

Comment: Published in at http://dx.doi.org/10.3150/12-BEJSP03 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
  • References (49)
    49 references, page 1 of 5

    Apanasovich, T.V., Ruppert, D., Lupton, J.R., Popovic, N., Turner, N.D., Chapkin, R.S. and Carroll, R.J. (2008). Aberrant crypt foci and semiparametric modeling of correlated binary data. Biometrics 64 490-500, 667. MR2432419

    Barndorff-Nielsen, O.E. and Cox, D.R. (1994). Inference and Asymptotics. Monographs on Statistics and Applied Probability 52. London: Chapman & Hall. MR1317097

    Besag, J. (1974). Spatial interaction and the statistical analysis of lattice systems. J. R. Stat. Soc. Ser. B Stat. Methodol. 36 192-236. With discussion by D.R. Cox, A.G. Hawkes, P. Clifford, P. Whittle, K. Ord, R. Mead, J.M. Hammersley, and M.S. Bartlett and with a reply by the author. MR0373208

    Besag, J. (1975). Statistical analysis of non-lattice data. Statistician 24 179-195.

    Bjørnstad, J.F. (1990). Predictive likelihood: A review. Statist. Sci. 5 242-265. With comments and a rejoinder by the author. MR1062578

    Brazzale, A.R., Davison, A.C. and Reid, N. (2007). Applied Asymptotics: Case Studies in Small-Sample Statistics. Cambridge Series in Statistical and Probabilistic Mathematics 23. Cambridge: Cambridge Univ. Press. MR2342742

    Breslow, N.E. and Clayton, D.G. (1993). Approximate inference in generalised linear models. J. Amer. Statist. Assoc. 88 9-25.

    Brown, E.N., Barbieri, R., Eden, U.T. and Frank, L.M. (2004). Likelihood methods for neural spike train data analysis. In Computational Neuroscience. Chapman & Hall/CRC Math. Biol. Med. Ser. 253-286. Boca Raton, FL: Chapman & Hall/CRC. MR2029664

    Chen, J. and Sitter, R.R. (1999). A pseudo empirical likelihood approach to the effective use of auxiliary information in complex surveys. Statist. Sinica 9 385-406. MR1707846

    Cox, D.R. (1972). Regression models and life-tables. J. R. Stat. Soc. Ser. B Stat. Methodol. 34 187-220. With discussion by F. Downton, Richard Peto, D.J. Bartholomew, D.V. Lindley, P.W. Glassborow, D.E. Barton, Susannah Howard, B. Benjamin, John J. Gart, L.D. Meshalkin, A.R. Kagan, M. Zelen, R.E. Barlow, Jack Kalbfleisch, R.L. Prentice and Norman Breslow, and a reply by D.R. Cox. MR0341758

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