
Twentieth International Workshop on Statistical Modelling, Sydney, 2005, Proceedings
A.R. Francis, K.M. Matawie, A. Oshlack, and G.K. Smyth (Eds.)
Statistical Solutions to Modern Problems. Proceedings of the 20th International Workshop on Statistical Modelling. Sydney, Australia, July 1015, 2005
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Contents
Part I: Invited Papers
 Berliner L.M., Cressie, N., Jezek, K., Kim, Y., and Lam, C.Q.
 Hierarchical Bayesian modeling of the movement of ice streams
 Glasbey, C., and Khondoker, M.
 Correction for pixel censoring in cDNA microarrays
 Ormerod, J.T., Wand, M.P., and Koch, I.
 Penalised spline support vector classifiers: computational issues
 Richardson, S., Jackson, C., and Best, N.
 Bayesian hierarchical models in ecological studies
 Tavaré, S., Stranger, B., Forrest, M., Dermitzakis, M., and Deloukas, P.
 Identifying expression variation with the Illumina platform
Part II: Contributed Papers
 Aitkin, M., and Chadwick, T.
 A modelfree likelihood/Bayes analysis of finite population survey data
 AlEid, E., and Pan, J.
 Estimation in generalized linear mixed models using SNTO approximation
 Anido, C., Rivero, C., and Valdés, T.
 Analysing the variance of grouped and nongrouped data arbitrarily distributed: an iterative algorithm
 Bailey, T., and Gibson, A.
 Bayesian multilevel modelling of literacy, numeracy and ICT skills in small areas of England
 Beißbarth, T., TyeDin, J.A., Smyth, G.K., Anderson, R.P., and Speed, T.P.
 Modelling and analysis of Tcell epitope screening data
 Bennett, P., Glonek, G., and Solomon, P.
 Optimal designs for gene expression studies
 Bock, M., and Bowman, A.
 Visualisation tools for modelling shape in three dimensions
 Cakmak, S., Dales, R., and Burnett, R.
 Spatial analysis of air pollution and prevalence of cardiac disease in ten large Canadian cities
 Cappelli, C., and Reale, M.
 Detecting multiple structural breaks in the mean via Atheoretical Regression Trees
 Chambers, L.E.
 Linking climate change, phenology and statistics in Australia
 Choy, S.T.B., and Chan, C.M.
 Bayesian Studentt stochastic volatility models
 Copt, S., and VictoriaFeser, M.P.
 Robust inference for mixed linear models
 Dunn, P.K., and White, N.
 Powervariance models for modelling rainfall
 Eilers, P.H.C., Heim, S., and Marx, B.D.
 Varying coefficient tensor models for brain imaging
 Ferguson, C., Scott, M., Bowman, A., and Carvalho, L.
 Model comparison for a complex ecological system
 Ferrari, P., Annoni, P., Salini, S.
 A comparison between alternative models for environmental ordinal data: Nonlinear PCA vs Rasch Analysis
 Friedl, H., and Booth, J.
 Mixture models for left censored responses
 Fukuda, K., and Hudson, I.L.
 Global and local climatic factors on sulfur dioxide levels: comparison of residential and industrial sites
 Ganjali, M., fatehi, H., and Hamidi, O.
 A comparison of EM Algorithm, multiple imputation and joint modelling for analyzing multivariate normal data with missing responses
 Gebski, V.J., Heritier, S., Pillai, A., Luke, V., Simes, R.J., Keech, A.C.
 Computer modelling of adaptive randomisation schemes in large randomised controlled trials
 George, A.W.
 A Markov chain Monte Carlo procedure for constructing genetic maps
 Glonek, G.
 On the analysis of a casecontrol study with differential measurement error
 Gong, Z., Huidson, I., and Graham, P.
 A Bayesian causal Cox model (CCM) for allornothing compliance
 Green, P.J., and Mardia, K.
 Matching and alignment in protein bioinformatics, using Bayesian hierarchical models
 Grigg, O.A., and Spiegelhalter, D.J.
 Randomeffects CUSUMs to monitor hospital mortality
 Remus, H.K.W.R., Inchi, H., and Zhihua, Z.
 RJMCMC algorithm for multivariate Gaussian mixtures with applications in linear mixedeffects models
 Holian, E.
 Mixtures of regression lines applied to longitudinal microarray experiments
 Hudson, I., Keatley, M., and Roberts, A.M.I.
 Statistical methods in phenological research
 Jagannathan, S.R., and Matawie, K.M.
 Stochastic modelling of congestion control algorithms
 Jansakul, N.
 Fitting a zeroinflated negative binomial model via R
 Jordan, C., and Livingstone, V.
 Product partition models and their possible applications
 Kang, I., Hudson, I.L., Rudge, A.D., and Cgase, J.G.
 Wavelet signatures of agitation & sedation profiles of ICU patients
 Kauermann, G., Teuber, T., and Flaschel, P.
 Estimating cycles and Phillips loops using penalized spline regression
 Kim, S.W., Hudson, I.L., and Keatley, M.R.
 Mixture transition distribution analysis of flowering and climatic states
 Kim, S.Y., Choi, T.M., Bea, J.S.
 Application of fuzzy models for gene clustering from microarray data
 Komárek, A., and Lesaffre, E.
 Bayesian semiparametric regression model for bivariate doublyintervalcensored data
 Lesaffre, E., and Bogaerts, K.
 Estimating Kendall's tau for bivariate interval censored data with a smooth estimate of the density
 Li, N., and Qian, G.
 Modelling disease transmission by the method of data augmentation
 McVinish, R.
 A Bayesian approach to set membership for transfer functions
 Militino, A.F., Ugarte, M.D., Goicoa, T., GonzálezRamajo, B., and Olaeta, H.
 Choosing between fixed effects and mixed effects models in small area estimation
 Molinaro, A.M., and van der Laan, M.J.
 An application of crossvalidating and bagging partitioning algorithms with variable importance
 Newell, J., Einbeck, J., Madden, N., and McMillan, K.
 Model free endurance markers based on the second derivative of blood lactate curves
 Ng, A.M.L., and Ng, M.P.
 Density and hazard estimation for intervalcensored data using kernel functions
 O'Sullivan, M., Stone, G., Catchpoole, D., and Wood, G.
 Comparison of cDNA and Affymetrix microarray data for paediatric acute lymphoblastic leukemia
 Penman, R., Heller, G., and Tyler, J.
 Modelling assisted reproductive technology data using an extended continuation ratio model
 Pittelkow, Y.E. Rosche, E., and Wilson, S.R.
 Interpreting models in gene expression data
 Reeves, R.W., and Pettitt, A.N.
 A theoretical framework for approximate Bayesian computation
 Ridall, P.G., Pettitt, A.N., Friel, N., McCombe, P.A., and Henderson, R.D.
 A Bayesian method for motor units number estimation (MUNE) using reversible jump Markov chain Monte Carlo (RJMCMC)
 Rigby, B., Stasinopoulos, M., and Akantziliotou, C.
 Using GAMLSS for univariate statistical modelling
 Ritchie, M.E., and Smyth, G.K.
 Estimating shared parameters using many small data sets
 Salim, A., Becker, N.G., Möller, J., and Hessén Södermann, A.C.
 Models for casecrossover study with multiple types of exposure
 Scurrah, K., Wong, Z., Ellis, J., Hopper, J., and Harrap, S.
 Familial analyses of pulse pressure: extensions to standard variance components models
 Sims, M., Elston, D., and Larkham, A.
 Using mixed models to smooth regression coefficients corresponding to intercorrelated explanatory variables: an application to weather covariates
 Supervie, V., and Costagliola, D.
 Modelling of the French BSE epidemic: use the screening test data
 Ugarte, M.D., Ibánez, B., and Militino, A.F.
 Risk estimation in empirical Bayes disease mapping
 Wit, E., and Thomson, N.
 Bayesian genetic networks with topological constraints
 Wong, D., and Wood, G.R.
 A multistage approach to clustering in microarray experiments
 Wood, I., Mengersen, K., and Moser, G.
 Comparative mapping of genomes
 Wright, J.R., Majumder, D., Dasu, T., Vesonder, G.T.
 Statistical ensembles for managing complex data streams

