
26th International Workshop on Statistical Modelling, Valencia, Spain, 2011, Proceedings
David Conesa, Anabel Forte, Antonio LópezQuílez, and Facundo Muñoz (Eds.)
IWSM 2011. Proceedings of the 26th International Workshop on Statistical Modelling. Valencia (Spain), July 511, 2011
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Contents
Part I: Invited Papers
 Berger et al.
 Risk assessment for pyroclastic flows: Combining deterministic and statistical modelling
 Firth
 Quasivariances and extensions
 Gómez
 Some theoretical thoughts when using a composite endpoint to prove the efficacy of a treatment
 Green et al.
 Identifying influential model choices in Bayesian hierarchical models
 Jørgensen et al.
 The ecological footprint of Taylor's universal power law
Part II: Contributed Papers
Aerts et al. Incomplete Clustered Data and NonIgnorable Cluster
Size
AlvaroMeca et al. Bayesian LeeCarter Model: A SpatioTemporal
Approach
AndresFerrer and Ney From Empirical Bayes to LeavingOne
Out
Aregay et al. Model Based Estimates of LongTerm Persistence of
Induced HPV Antibodies: A Flexible SubjectSpecic Approach
Armero et al. Bayesian model selection for assessing the progression
of chronic kidney disease in transplanted children
Badiella et al. Area under the ROC curve using logistic regression
with random effects: Estimation and Inference
Barber et al. Optical properties of fresh date palm in different stages
of maturity
Bárcena et al. Measuring the real estate bubble: a house price index
for Bilbao
Baxter et al. Missing data, multiple imputation and the UK National Vascular Database
Belgrave et al. A Comparison of Frequentist and Bayesian Approaches to Latent Class Modelling of Susceptibility to Asthma
and Patterns of Antibiotic Prescriptions in Early Life
Boixadera et al. Who uses Complementary and Alternative
Medicine? An analysis for cancer patients
Bowman and Crujeiras Assessing isotropy with the variogram
Brechmann et al. Simplified regular vines for modeling high
dimensional financial risk data
Brewer et al. Climate Envelopes for Species Distribution Models
Burke and MacKenzie XD survival regression models with
frailty
Caballero Águila et al. Leastsquares signal estimation using correlated delayed observations transmitted by different sensors
Caballero Águila et al. Filtering algorithm for fractional order
discrete systems with uncertain observations
Carrasco et al. The LogGeneralized Modified Weibull Regression
Model
Castillo and Serra An exponential dispersion family to modelling
critical phenomenon
Catelan and Biggeri Hierarchical Bayesian modelling to assess divergence in disease mapping
Conde and MacKenzie LASSO Penalised Likelihood in High
Dimensional Contingency Tables
Conesa et al. Describing the geography of Spanish bank branching
CorberánVallet and Lawson Spatiotemporal disease modeling
and surveillance with Bayesian hierarchical Poisson models
CorberánVallet et al. Time series modeling and Bayesian forecasting with exponential smoothing models
Costa and Dias Assessment of egovernment maturity in Portuguese
municipalities using regression and clustering approaches
Creemers et al. Joint Modeling Longitudinal Health Care Costs
and TimetoEvent Data in Matched Pairs
Cysneiros Bartletttype Correction in Heteroscedastic Symmetric
Nonlinear Models
Cysneiros et al. A Symbolic Robust Regression Model
Czado et al. Bayesian inference for copula based GARCH models
Dejardin et al. Bayesian Dose Escalation in phase I studies of Combinations of Drugs with Control
De Rooi and Eilers Using text mining tools to compose structure
priors for inferring gene networks
Djennad et al. MarkovSwitching Multifractal models within
GAMLSS
Djeundje and Currie Smooth mixed models for nested curves
Dondelinger et al. A Bayesian regression and multiple changepoint
model for systems biology
Dooley et al. Analysis of an Observational Study
Eilers et al. Sea Level Trend Estimation by Seemingly Unrelated
Penalized Regressions
Fabio et al. Generalized random intercept loggamma exponential
family models
Faria and Gonçalves Modelling Financial Data using Poisson Mixture Approach
Finazzi et al. A multivariate spacetime model for heterogeneous
air quality networks
Fonseca et al. Predictive distributions for nonregular parametric
models
Forte et al. Objective Bayes Criteria for Variable Selection
FrancoVilloria et al. Conditional Probability of Flood Risk in
Scotland
Fried et al. Outliers and interventions in INGARCH time series
Furche et al. Bivariate Ordinal Regression Models for the Analysis
of Neural Data
Gallego et al. Modelling endocytosis by means of nonhomogeneous
temporal Boolean models
GarcíaDonato et al. A Prior for multiplicity control and closed
form Bayes factors in variable selection
GarcíaMora et al. Approximated Survival function in the Sum of
Two Independent Homogeneous Markov Processes: Application to Bladder Carcinoma
Gargoum On using the Hellinger distance in checking the validity
of approximations based on dynamic generalized linear models
George and Unlu Parameter Estimation in Skillsbased Knowledge
Space Theory and Cognitive Diagnosis Models: A Comparison
Gilchrist et al. Forecasting film revenues using GAMLSS
Gilthorpe et al. Importance of correctly specifying the random
structure in growth mixture models.
Gomes et al. Modeling swimming marks through Blocks and POT
methods
Gonçalves and Costa Improvement of surface water quality variables modelling that incorporates a hydrometeorological factor:
a statespace approach
Gottard et al. Modelling fertility and education in Italy in the
presence of timevarying frailty component
Grisotto et al. Empirical Bayes models to estimate contextual effects
Habteab Ghebretinsae et al. Generalized Frailty Model for Comet
Assays
Ha et al. Interval Estimation of Random Effects in Frailty Models
Haggarty et al. Functional Clustering of Water Quality Data in
Scotland
Hasso and Matawie Using Probability Models to Classify Software
Patterns
Hernandez et al. Linear Model comparison with structured mean
and dispersion parameters
Huertas et al. Joint Modelling of Two Sequential Times to Events
With Longitudinal Information
Ibacache Pulgar and Paula Elliptical semiparametric mixed models
Kelly The changepoint problem in regression with correlated data
and change in variance
Komárek Capabilities of R package mixAK for clustering based on
multivariate continuous and discrete longitudinal data
Lambert Additive locationscale model when the response and some
covariates are interval censored
Letón and MolanesLópez Second order delta method for estimating the Youden index and optimal threshold
Little et al. Modeling growth patterns of the swift tern using non
linear mixed effect models
Loquiha et al. ZeroInflated Poisson and Negative Binomial Models
Applied to Maternal Mortality Rate in Mozambique
Lynch and MacKenzie On Bivariate Survival Regression Models
Marchetti et al. Regression graph models: an application to joint
modelling of fertility intentions among childless couples
MartínezBeneito et al. A spatiotemporal monitoring system for
InfluenzaLike Illness incidence
MartínezCoscollá et al. Bayesian hierarchical modelling for analyzing the efficiency in the European banking system
Marx et al. Multidimensional SingleIndex Signal Regression
Mauff and Little Multivariate Nonlinear MultiLevel Mixed Effect
Models: Techniques and Application to Pharmacokinetic Data
Mayr et al. Boosting Generalized Additive Models for Location,
Scale and Shape
Menten et al. Estimation of Infection Rates from Repeated ELISA
Optical Density Data using Hidden Markov Models
Mirkov and Friedl Nonlinear and Spline Regression Models for
Forecasting Gas Flow on Exits of Gas Transmission Networks
Mohd Din et al. Prediction of the rheumatoid arthritis activity
score: a joint modeling approach
MolanesLópez et al. Covariateadjusted inference for the Youden
index and associated classification threshold
Moreira and Machado An R Package for the Estimation of the
Bivariate Distribution for Censored Gap Times
Muggeo and Lovison Testing for a breakpoint in segmented regression: a pseudoscore approach
Muñoz and LópezQuílez Geostatistical modelling with nonEuclidean distances
Murawska et al. Multistate models for non Markov process
Mutsvari et al. Some approaches to correct for misclassification in
the absence of an internal validation data set
Nicholls and Ryder Phylogenetic models for Semitic vocabulary.
Nicholls and Watt Partial Order Models for Episcopal Social Status
in 12th Century England
Nysen et al. Testing GoodnessofFit of Parametric Models for Censored Data
Oller and Gómez Testing against ordered alternatives with
intervalcensored data
PalareaAlbaladejo and MartínFernández Examining
distancebased grouping on the simplex sample space: the
fuzzy clustering case
Pardo and Pérez The use of GEE for analyzing housing prices
Peng and MacKenzie Precision of estimators in interval censored
parametric survival models
Pennino et al. A Bayesian spatial approach to modelling fish species
occurrence
Pereira et al. The truncated inflated beta regression
Perra et al. A Bayesian analysis of survival times for stage IV non
small cells lung cancer
Pfeifer On probabilities of avalanches triggered by alpine skiers.
Models with random effects taking the stratified data into account
PitaFernández et al. Cancer incidence in kidney transplant recipients
Pomann et al. Evaluating Change Detection in Data Streams
Porcu et al. Modelling the Timing of Marital Dissolution in Italy:
censored quantile regression with additive terms
Prieto et al. Estimation of the density of the Antarctic Blue whales
population using their sequences of sounds
Ramsey and Futschik Optimal DNA Pooling for the Detection of
Single Nucleotide Polymorphisms
Riebler et al. Modelling seasonal patterns in longitudinal profiles
with correlated circular random walks
Rippe and Eilers Segmented smoothing with an L0 penalty
Rodríguez Álvarez et al. Testing for covariate effects in ROC
GAM regression models based on bootstrap methods
RodríguezDíaz et al. DOptimum designs in random eect logistic
regression models
Rosen et al. Adaptive Spectral Estimation for Nonstationary Time
Series
Rushworth et al. Distributed lag models for hydrological data
Russo et al. Exact and approximate inferences for nonlinear mixed
effects heavytailed models
Sabanés Bové et al. Hyperg Priors for Generalised Additive Model Selection
Schnabel et al. Optimal time scaling for plant growth analysis. 544
Sellers Introducing a Model to Determine True Counts via the
ConwayMaxwellPoisson Distribution
Sikorska et al. Fast genomewide association analysis in longitudinal
studies
Singh and Huzurbazar Analysis of Gene Duplication Data
Slaets et al. Flexible Modelling of Functional Data using Continuous
Wavelet Dictionaries
Smith and Bowman Boundary identification in 3D images
Sobotka et al. Confidence intervals for geoadditive expectile regression models
Stefanova Measuring Efficiency of Trial Designs with Unreplicated
or Partially Replicated Test Lines
Stöber and Czado A Markov switching model for vine copulas
Sweeney and Haslett Bayesian residual analysis in Poisson regression models
Tamura and Giampaoli Prediction for an observation in a new
cluster for Multilevel Logistic Regression considering k random
coefficients
Taylor and Einbeck Multivariate regression smoothing through the
″falling net″
Tharmaratnam and Claeskens Robust model selection in additive
penalized regression splines models
Thompson Statistical modeling of geographic risks for very low birth
weights near Texas superfund sites
Ugarte et al. Spatiotemporal risk smoothing and forecasting with
Psplines
Urbano et al. Bioassays models with natural mortality and random
effects
Usuga et al. A study to compare HGLM and GAMLSS in mixed
linear models
Van den Hout et al. A latentclass semiparametric change point
model for cognitive ability in older age
Van Oirbeek and Lesaffre Measuring the Brier score for frailty
models
Ventrucci et al. A Dipole Model for MEG Data
Ventura and Racugno A Bayesian adjustment of the modified profile likelihood
Waldmann and Kneib Bayesian Structured Additive Quantile Regression
West et al. Groups within networks
Worton and Mclellan Robust mixture modelling of telemetry data
in wildlife studies of home range
Yee and Hadi RowColumn Association Models
ZieglerGraham and Rohde Use of Marginal Likelihoods in Statistical Inference

