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21st International Workshop on Statistical Modelling, Galway, 2006, Proceedings

Cover 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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