
30th International Workshop on Statistical Modelling, Linz,
Austria, 2015, Proceedings
Herwig Friedl and Helga Wagner (Eds.)
Proceedings of the
30th International
Workshop
on Statistical Modelling. Linz, Austria, 610 July 2015
[ Download Proceedings Volume 1 Volume 2 ]
Contents
Part I: Invited Papers
 Chandler and Ambrosino
 Spatiotemporal modelling for environmental applications: challenges and opportunities
 Finley et al.
 Bayesian functional data models for coupling highdimensional LiDAR and forest variables over large geographic domains
 FrühwirthSchnatter
 Recent advances in sparse Bayesian factor analysis
 Greven
 A general framework for functional regression
 Hinde
 All statistical models are wrong, some are usable!
Part II: Contributed Papers (Volume I)
Ameraoui et al. Bayesian estimation of the tail index of a heavy tailed distribution with censoring
Bartolucci et al. Robust maximum likelihood estimation of latent class models
Berger and Tutz An extended adjacent categories model accounting for response styles
Bottone et al. Quantile regression: a Bayesian robust approach
Bremhorst et al. Time dependent variables in cure survival models: An application to the timing of a third pregnancy
Brockhaus et al. Functional regression models for location, scale and shape applied to stock returns
Camarda and Eilers Regression models with digit preference
Colombi and Giordano A mixture model for multidimensional ordinal data
Crespo et al. Understanding economic growth regressions using latent class analysis
De Mulder et al. Application of statistical emulation to an agentbased model: assortative mating and the reversal of gender inequality in education in Belgium
Edwards et al. Signal extraction and power spectral density estimation: A Bayesian semiparametric approach
Eilers Separation of signals with tailored penalties
Fallah and Hinde Modelling homogeneous and heterogenous populations under joint progressive typeII censoring
Amanda FernándezFontelo et al. Generalized INAR models with trend and seasonality for veterinary syndromic surveillance
Frasso et al. A Bayesian model for the Ebola epidemic in Sierra Leone
FrühwirthSchnatter and Posekany Merging parallel MCMC output with yinyang sampling
Gampe et al. Hazard modelling for intervalcensored data by smoothing within the EM algorithm
Gasparrini et al. Penalized distributed lag nonlinear models
Goerg et al. How many people visit YouTube? Imputing missing events in panels with excess zeros
Groll et al. Regularization in Cox frailty models
Grzegorczyk et al. Network reconstruction with realistic models
Heller et al. Dispersion modelling for Poissoninverse Gaussian regression
Hermans et al. Clusters with random size: maximum likelihood versus weighted estimation
Hofner and Smith Boosted negative binomial hurdle models for spatiotemporal abundance of sea birds
Hsu et al. Analysis of accelerated failure time data with dependent censoring
Iannario and Lang Testing conditional independence in sets of I x J tables
Jaspers et al. Estimation of an MIC distribution using the vertex exchange method
Kateri and Agresti Average effect measures for group comparisons in ordinal response models
Klein et al. Geoadditive stochastic frontier analysis
Klein and Kneib Scaledependent priors for variance parameters in distributional regression
Klingenberg Multiple comparisons of marginal probabilities following GEE estimation
Kosmidis et al. Beyond beta regression: modelling percentages and fractions in the presence of boundary observations
Lambert and Denuit Density estimation from tabulated summary statistics
Larocque and Simonoff Modelbased mixed effects trees for longitudinal and clustered data
Machado and van den Hout Functional forms for transition intensities in a progressive threestate model
Marx Varying singleindex signal regression
Mayr et al. Boosting the discriminatory power of survival models via the Cindex and stability selection
McParland and Gormley Clustering mixed data via latent variable models
Moral et al. Assessing goodnessoffit for accelerated failure rate models: An insect ecology casestudy
Oliveira I. et al. Quantifying the genetic contribution to the variability of count traits
Peyhardi New qualitative choice models incorporating individual and choice characteristics
Reichl Estimating marginal likelihoods from the posterior draws through a geometric identity
RodríguezÁlvarez et al. Fast estimation of multidimensional adaptive Pspline models
Schauberger and Tutz BTLLasso  A penalty approach to heterogeneity in paired comparison data
Schneider and Tutz Variable selection in mixture models for ordinal response with an uncertainty component
Siino et al. Penalized logistic regression for small or sparse data: interval estimators revisited
da Silva et al. Doubly robustbased GEE for the analysis of longitudinal ordinal missing data
Spangl et al. Statistical models for dynamics in extreme value processes
Stauffer et al. Spatiotemporal censored model of precipitation climatology
Torretta et al. Pspline quantile regression with a mixed model algorithm
Vana et al. Modeling creditworthiness using a generalized linear mixedeffects approach
Waldmann and TaylorRobinson Joint modelling of quantile regression and survival time of lung function decline in cystic fibrosis patients
Weldon and Titman Estimation of twosided choice models: an application to public school choice
Würbach and Zinn Estimation of a general heaping model via randomwalk Metropolis algorithms
Part III: Contributed Papers (Volume II)
Agogo et al. Measurement error modelling for accelerometer activity data using Bayesian integrated nested Laplace approximation
Alvares et al. Bayesian multinomial logit model: an application to agriculture
Anan et al.Population size estimation in capturerecapture data based upon the ConwayMaxwellPoisson distribution
AraveepornEstimating nonlinear autoregressive models using smoothing spline and penalized spline methods
Bacci et al.Longitudinal data with informative dropout: an approach based on an AR(1) latent process
BakkaLogGaussian Cox processes with spatially varying second order properties
Banditvilai and MahakeetaA receiving process simulation model of the consumer product distribution center
Bigirumurame et al.Integrated analysis of multisource data in drug discovery experiments using structural equation models
Bitto and FrühwirthSchnatterAchieving shrinkage in the timevarying parameter models framework
BlasSkewnormal controlled calibration model
Böhnstedt and GampeDensity estimation from uncertain observations  Comparing parametric and nonparametric methods
Bollmann et al.Evaluation of a new kmeans approach for exploratory clustering of items
Bruyndonckx et al.Using generalized estimating equations to study persistence of antimicrobial resistance in respiratory streptococci
Cakmak et al. Using spatial and land use regression models in investigating the modifying effect of socioeconomic status on the interaction between traffic, air pollution and asthma
Carrasco et al.Influence diagnostics in errorsinvariables beta regression models
Cavalcante and BlasBeta calibration model with measurement errors
CorduasModelling correlated ordinal data by a copula approach
Dayaratna and KedemA probabilistic examination of the efficacy of tort reform via Bayesian semiparametric density ratio modeling
De Bastiani et al.Local influence on Gaussian spatial linear model with multiple replications
Vera Djordjilović and ChiognaAn improved shrinkage procedure for the estimation of covariance matrices in graphical models
Espendiller and KateriMeasures of association for 2 x 2 tables with a phidivergence origin
Fabio et al.On the derivation of a multivariate gamma model
Fiaccone and HendersonDynamic analysis for event history data: Recurrent infant diarrhoea
da Fonseca et al.Timevarying cointegration via wavelets
Pillay and McCollModel selection and model averaging using restrictive strategies for imputation in linear models
Yann GuédonSlope heuristics for multiple changepoint models
Guo et al.Making Bayesian bivariate metaanalysis practice friendly
Hainy and DrovandiApproximate Bayesian computation for spatial extremes using composite score functions
Hermann and StehlíkOn some issues on statistical analysis for Wilms tumor
Hernández et al.GAMLSS applied to study bacterial cellulose yield
Higueras et al.A new inverse regression model and software for radiation biodosimetry
Hossain et al.Modelling a proportion response variable using generalised additive models for location scale and shape
Iannario and PiccoloAnalysing ordinal categorical data by means of a generalized mixture model
Jalali et al.Dynamic nomogram in R
Kastner et al.Dynamic covariance estimation using sparse Bayesian factor stochastic volatility models
Komárková et al. Model based segmentation of the Czech hospitals according to their longitudinal financial performance in 20072011
LorenzoArribas et al.A simulation study assessing the advantages of cumulative link models
MalsinerWalli et al.Bayesian variable selection in semiparameteric growth regression
Mameli et al.Simulated adjustment of the signed scoring rule root statistic
Marcelletti et al.A flexible bivariate locationscale finite mixture approach to economic growth
Matawie et al.An approach to determine clusters overlap for Kmeans clustering
MeiraMachado et al.Nonparametric estimation of the survival function for ordered multivariate failure time data: a comparative study
Moghaddam et al. Flexible models in survival analysis: an illustration
Nakamura et al.The BirnbaumSaunders generalized$t$ distribution for positive skewed data
Niu et al.Inference in nonlinear differential equations
Noè et al.Emulation of ODEs with Gaussian processes
O'Donnell et al.Within lake clustering of high resolution satellite retrievals  a functional data and clustering approach
O'HaganBayesian model averaging for copulabased estimation of upper tail dependence in loss distributions
Oliveira T. et al.Generalized linear mixed models applied to overdispersed proportion data in a fungal occurrence study
Oliveira W. et al.A general class of bivariate regression models for mixed discrete and continuous responses
OspinaGalindez et al.Functional regression model of pentadal rainfall of Valle del Cauca (Colombia) in the period (19932011), integrating data from meteorological stations and satellite
Pauger and WagnerA comparison of different priors for sparse Bayesian modelling in regression models with ordinal predictors
Paula and RelvasPartially linear models with autoregressive symmetric errors
Perrone and MüllerD_{s}optimality for discriminating between copula models: a first example
Pinheiro and FerrariA comparative review of generalizations of the Gumbel extreme value distribution
Pinheiro et al.Constrained hypotheses testing via quasi Ustatistics and its application to undergraduate performance assessment
Romeo and MeyerBayesian approach for modelling bivariate survival data through the PVF copula
Rennies and KneibStructural equation models for dealing with spatial confounding
Roth and LangPosterior sensitivity of variance priors in Bayesian structured additive regression
Santos and BolfarineAnalysis of Brazil's presidential election via Bayesian spatial quantile regression
Schäfer and WortonModelling wind direction with an application
Schnabel et al.Quantifying LD decay by quantile regression  a case study
Schneider et al.Spatial variation of drivers of agricultural abandonment with spatially boosted models
Shirazi et al.Selfmodeling ordinal model with time invariant covariates  an application to prostate cancer
Yu et al.Statistical analysis of spatial distribution in populations of microspecies of Alchemilla L.
Stefanova et al. Use of genetic relationship matrices in the prediction of breeding values and their accuracy assessment
SweeneyA modified binomial likelihood model for zero and ninflated count data
Tough et al.Conditional weight gain using an external reference
TovarRios et al.Prior elicitation for estimation in a mixed effect logistic model
Umlauf et al. A conceptional Lego toolbox for Bayesian distributional regression models
Vandendijck et al.Geostatistical analysis using Ksplines in the geoadditive model
Van Kerckhove et al.Do contacts over distance follow a powerlaw distribution? Estimation of the social contact distance kernel
Wilson and EinbeckA simple and intuitive test for numberinflation or numberdeflation

