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21st International Workshop on Statistical Modelling, Galway, 2006, Proceedings
J. Hinde, J. Einbeck, and J. Newell (Eds.)
Proceedings of the 21st International Workshop on Statistical Modelling. Galway, Ireland, 3-7 July 2006
ISBN 1-86220-180-3
[ Download Proceedings (10,1 MB) ]
Contents
Part I: Invited Papers
- Claeskens, G.
- On focussed and less focussed model selection
- Fitzmaurice, G.M.
- Methods for handling dropout in longitudinal data analysis
- Haslett, J., Parnell, A., and Salter-Townshend, M.
- Modelling temporal uncertainty in palaeoclimate reconstructions
- Held, L.
- Quantitative assessment of probabilistic forecasts with applications in epidemiology
- Morgan, B.J.T.
- New methods for including covariates in models for the survival of wild animals
Part II: Contributed Papers
- Amaral Turkman, M.A., Goncalves, L., and Zé-Zé, L.
- A full Bayesian approach to physical maps of circular genomes - Application to the genome of o. oeni strain GM
- Armero, C., López-Quílez, A., and López-Sánches, R.
- Bayesian evaluation of times to diagnosis in women with mammograms indicating suspicion of malignancy
- Bailey, T.C., and McKinley, T.J.
- Spatial survival modelling and the 2001 UK foot-and-mouth disease epidemic
- Barry, S., and Bowman, A.
- Longitudinal models for shape data
- Cakmak, S., Li, W., Blanco, C., Farnandez, M., and Burnett, R.
- A measure of progress in air quality management: air health indicator
- Calle, M.L., Espinal, A., and Gómez, G.
- Analyzing sequential spells via conditional survival models
- Castillo, J., and Daoudi, J.
- Volatility control on the tails of returns
- Cazzaro, M., and Colombi, R.
- Marginal modelling of contingency tables with recursive logits and odds ratios
- Cecere, S., jara, A., and Lesaffre, E.
- Association structure and ranking of emergence times of permanent teeth: modelling the covariance matrix with interval-censored data
- Cruyff, M.J.L.F., van den Hout, A., van der Heijden, P.G.M., and Böckenholt, U.
- A log-linear randomized-response model to account for cheating
- Dahyot, R.
- Bayesian inferences for object detection
- Dasu, T., Pelletier, J., and Wright, J.
- Statistics for network management
- Debusho, L.K., and Haines, L.M.
- Optimal design for linear mixed models
- Durban, M., Currie, I., and Eilers, P.H.C.
- Mixed models, array methods and multidimensional density estimation
- Eilers, P.H.C., and Marx, B.D.
- Multidimensional density smoothing with P-splines
- Escaramís, G., and Carrasco, J.L.
- Approximations for the MSE of random effects in a GLMM estimated by PQL
- Escarela, G., Mena, R.H., and Castillo-Morales, A.
- Modelling non-Gaussian time series with a mixture copula transition model
- Fenlon, J.S., and Faddy, M.J.
- Markov modelling of temporally-ordered functional response data
- Finselbach, H.K., and Watkins, A.J.
- The reliability of censored reliability analyses
- Firth, D., and Turner, H.L.
- Generalized nonlinear models, and over-parameterized representation
- Ganjali, M., Berridge, D., and Penn, R.
- A longitudinal transition ordered response model for analyzing the change of attitudes to gender roles
- Greven, S., Küchenhoff, H., and Peters, A.
- Additive mixed models with P-splines
- Ha, I.D., Lee, Y., and MacKenzie, G.
- Model selection for frailty structures
- Hawkins, M.J., Hyde, B.P., Ryan, M., Schulte, R.P.O, and Connolly, J.
- An empirical model and scenario analysis of nitrous oxide emissions from a fertilised and grazed temperate grassland site
- Heiner, K., and Hinde, J.
- Exponential family mixtures in total quality health care monitoring
- Heller, G., Stasinopoulos, M., Rigby, B.
- The zero-adjusted Inverse Gaussian distribution as a model for insurance claims
- van den Hout, A., van der Heijden, P.G.M., Gilchrist, R.
- A multivariate logistic regression model for randomized response data
- Hrdlicková, Z.
- Prediction of risk of sepsis based on deviance in MGLM
- Hsu, C.-H.
- Modelling of recurrence of adenomas: a latent variable approach
- Kaczmarek, Z., and Adamska, E.
- Simultaneous analysis of variables observed in a series of trials
- Kandilorou, H.
- A latent variable model for Australian student's creativity
- Kazemi, I.
- Linear mixed-effects modelling of panel data: a cautionary note
- Kelly, G.E., and Condon, J.
- Survival models for recurrent events in the estimation of the effect of badger culling on tuberculosis in Irish cattle herds
- Kirkby, J., and Currie, I.
- Modelling mortality data on the Lexis diagram
- Kneib, T., and Hennerfeind, A.
- A nonparametric multi-state model for the analysis of human sleep
- Kosmidis, I.
- Bias reduction and shrinkage in multinomial logit models
- Krivobokova, T., Crainiceanu, C.M., and Kauermann, G.
- Computationally efficient spatially-adaptive penalized splines
- Kulinskaya, E., and Staudte, R.G.
- A model for combining evidence in several t-statistics to estimate an overall standardized effect
- Lambert, P., and Eilers, P.H.C.
- Bayesian multi-dimensional density estimation with P-splines
- Lang, J.B.
- Applications of profile confidence intervals for contingency table parameters
- Livingstone, V., and Jordan, C.
- Product partition models and clustering
- Lynch, C., and Barry, D.
- Estimating the probability distribution of gamblers by observing betting practices
- MacNab, Y.C., and Gustafson, P.
- Spline smoothing in Bayesian disease mapping
- Maringwa, J.T., Geys, H., Shkedy, Z., Faes, C., Molenberghs, G., Aerts, M., Van Ammel, K., Teisman, A., Bijnens, L.
- Analysis of a cardiovascular safety experiment with longitudinal data using penalized smoothing splines
- Mendes, J.M., and Turkman, K.F.
- Bayesian hierarchical models for hake stocks
- Mercatanti, A.
- A constrained maximum likelihood estimation for relaxing the exclusion restriction in causal inference
- Militino, A.F., Ugarte, M.D., Gonzáles-Ramajo, B., López-Sagaseta, M., and Goicoa, T.
- Analysing the performance of alternative unemployment estimators in small areas
- Morales, J., Castellanos, M.E., Mayoral, A.M., Fried, R., and Armero, C.
- Bayesian modelling of finite-source queueing systems
- Morris, D., Brown, P.J., and Griffin, J.E.
- Bayesian factor analysis applied to microarray data
- Morris, D., and Ombredane, D.
- Modelling the spatial dynamics of a population of trout using multistate capture-recapture methods
- Muggeo, V.M.R.
- Modelling threshold parameter as a function of covariates in segmented regression
- Muntés-Mulero, V., Pérez-Cassany, M., Aguilar-Saborit, J., and Larriba-Pey, J.-L.
- Modelling genetic methods for data search strategies with ANOVA
- Neubauer, G., and Friedl, H.
- Modelling sample sizes of frequencies
- O'Kelly, M.
- A comparison of SAS and R software for performing robust regression
- Oskrochi, G., and Shamley, D.
- Analysing the effect of breast cancer treatment on shoulder complexity: a multivariate random effects modelling approach
- Proust, C., and Jacqmin-Gadda, H.
- A nonlinear latent class model for joint analysis of multiple longitudinal outcomes and a clinical event
- Puig, P.
- Appropriate statistical models for analysis of ratios
- Purutcuoglu, V., and Wit, E.
- Stochastic simulation of the MAPK signalling pathway
- Rea, W., Reale, M., Cappelli, C., Brown, J.
- Identification of level shifts in stationary processes
- Reed, W.J.
- Analyzing forest fire scar data
- Salter-Townshend, M., and Haslett, J.
- Modelling zero inflation of compositional data
- Scarrott, C., Tunnicliffe-Wilson, G., and Tawn, J.
- Extreme value modelling of reactor risk
- Schimek, M.G., and Pavlík, T.
- A comparative study of false discovery rate procedures in R
- Sofroniou, N., Einbeck, J., and Hinde, J.
- Analyzing Irish suicide rates with mixture models
- Tresl, J., and Blatna, D.
- Statistical analysis of selected European stock indices
- Tutz, G., and Ulbricht, J.
- An alternative approach to regularization and variable selection in high dimensional regression modelling
- Ugarte, M.D., Militino, A.F., Goicoa, T.
- Restricted predictors for small area totals
- Vaida, F., and Blanchard, S.
- Conditional AIC for nonlinear mixed effects models
- Xu, R., Vaida, F., and Harrington, D.P.
- Using profile likelihood for model selection with application to proportional hazards mixed models
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