Journal of the Royal Statistical Society. Series C, Applied Statistics

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  Año 2005, Número 3

  • Bayesian analysis of single-molecule experimental data

    S C Kou, Jun S. Liu, X. Sunney Xie

    págs. 469-506

    

  • Generalized additive models for location, scale and shape

    R. A. Rigby, D. M. Stasinopoulos

    págs. 507-554

    

  • Modelling association between two irregularly observed spatiotemporal processes by using maximum covariance analysis

    A. Salim, K. Bond, Y. Pawitan

    págs. 555-573

    

  • Discrete time modelling of disease incidence time series by using Markov chain Monte Carlo methods

    Bärbel F. Finkenstädt, Alexander Morton

    págs. 575-594

    

  • Obtaining cancer risk factor prevalence estimates in small areas: combining data from two surveys

    William W. Davis, Michael R. Elliott

    págs. 595-609

    

  • A nonparametric Bayesian model for inference in related longitudinal studies

    Maria De Iorio, Gary L. Rosner, Steven MacEachern, Peter Müller

    págs. 611-626

    

  • A Bayesian mixture model for differential gene expression

    Feng Tang, Kim Anh Do, Peter Müller

    págs. 627-644

    

  • Nonparametric estimation of spatial segregation in a multivariate point process: bovine tuberculosis in Cornwall, UK

    Peter Durr, Peter J. Diggle, Pingping Zheng

    págs. 645-658

    

  • Semiparametric estimation of the duration of immunity from infectious disease time series: influenza as a case-study

    Bryan T. Grenfell, Julia R. Gog, Yingcun Xia

    págs. 659-672

    

  • Non-stationary spatiotemporal analysis of karst water levels

    Ian L. Dryden, J. Kovács, C. C. Taylor, L. Márkus

    págs. 673-690