Statistical Modelling Society



Twentieth International Workshop on Statistical Modelling, Sydney, 2005, Proceedings

Cover 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 10-15, 2005

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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 model-free likelihood/Bayes analysis of finite population survey data
Al-Eid, 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 non-grouped data arbitrarily distributed: an iterative algorithm
Bailey, T., and Gibson, A.
Bayesian multi-level modelling of literacy, numeracy and ICT skills in small areas of England
Beißbarth, T., Tye-Din, J.A., Smyth, G.K., Anderson, R.P., and Speed, T.P.
Modelling and analysis of T-cell 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 Student-t stochastic volatility models
Copt, S., and Victoria-Feser, M.-P.
Robust inference for mixed linear models
Dunn, P.K., and White, N.
Power-variance 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 case-control study with differential measurement error
Gong, Z., Huidson, I., and Graham, P.
A Bayesian causal Cox model (CCM) for all-or-nothing compliance
Green, P.J., and Mardia, K.
Matching and alignment in protein bioinformatics, using Bayesian hierarchical models
Grigg, O.A., and Spiegelhalter, D.J.
Random-effects 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 mixed-effects 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 zero-inflated 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 doubly-interval-censored 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., González-Ramajo, 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 cross-validating 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 interval-censored 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 case-crossover 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 inter-correlated 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 multi-stage 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



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