Statistical Modelling Society

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 10-15, 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 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