Statistical Modelling Society



25th International Workshop on Statistical Modelling, Glasgow, Scotland, 2010, Proceedings

Adrian W. Bowman (Ed.)
Proceedings of the 25th International Workshop on Statistical Modelling. Glasgow, Scotland, 5-9 July 2010

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Part I: Invited Papers

The past and future of statistical modelling
Dryden et al.
Statistical analysis of brains using diffusion tensor images
Bayesian computing with INLA
Scott et al.
A statistical framework for an evidence base to support environmental regulation and policy
Sitlani, Heagarty et al.
Longitudinal structural mixed models for the analysis of surgical trails with noncompliance

Part II: Contributed Papers

Albano et al
Fitting the therapy term in a Gompertz diffusion process
Ayele et al.
Time series and mixed models to study the country-specific outpatient antibiotic use in Europe
Bacci et al.
Markov-switching autoregressive latent variable models for longitudinal data
Bar, Booth, and Wells
An empirical Bayes approach to variable selection and QTL analysis
Barber et al.
A conditional corregionalized lienar model for bio-climatic classification
Barcelo-Vidal and Aguilar
Time series of proportions: a compositional approach
Bartolucci et al.
Assessment of school performance through a multi-level latent Markov Rasch model
Bartolucci and Grilli
Likelihood inference for a semi-parametric Gaussian model addressing partial compliance by continuous principal strata
Biatat et al.
Joint models for classification and comparison of mortality in different countries
Bowman, Brown, and Katina
The identification and analysis of lip shape
Caballero-Aguila et al.
Signal estimation form observations with bounded random delays and packet dropouts
Caballero-Aguila et al.
Unscented filtering in nonlinear systems with uncertain observations and correlated noise
Caffo et al.
Functional principal components models for high dimensional brain volumetrics
Camarda et al.
Sums of Smooth Exponentials
Capobianco et al.
Modelling censored data with the skew-normal distribution
Castillo et al.
Statistical Challenges in Modelling Operational Risk
Colombi and Giordano
Is a Marginal Discrete Hidden Markov Model Lumpable?
Conesa et al.
Mean-Variability Hidden Markov Models for the detection of influenza outbreaks.
Cysneiros, Cordeiro and Silva
Bartlett Correction in Power Series Generalized Nonlinear Models
Cysneiros, Leiva and Santos-Neto
Birnbaum-Saunders Linear Regression Models: A New Approach
de Rooi et al.
Recovering gene-networks using l_1 and l_0 penalties
Del Fava et al.
Estimating the prevalence and the force of infection of Parvovirus B19 in Belgium using hierarchical Bayesian mixture models
Durazo-Arvizu et al.
Modeling the Non-Monotonic Association between 25-Hydroxyvitamin D and Mortality in a Representative US Population Sample
Dvorzak, Neubauer and Wagner
Bayesian Modelling of Underreported Count Data
Expectile contours and data depth
Eilertson et al.
Identifying genes under selection using generalized linear mixed models
Einbeck and Evers
Localized regression on principal manifolds
Eze et al.
Modelling Alkalinity in Ecosystems
Fabrizi et al.
Small area estimation for a latent variable: the case of disability in the Italian National Health Interview Survey
Fasso and Finazzi
The dynamic coregionalization model with application to air quality remote sensing
Fonseca et al.
Improving estimative prediction regions
Fontdecaba et al.
Modelling the evolution of the number of armed conflicts
Franco-Villoria et al.
Assessing the variability of Scottish rivers using wavelet analysis
Garcia-Ligero et al.
Filtering and smoothing algorithms for discrete-time systems with multiple packet dropouts using covariance information
Garcia-Zattera et al.
Multivariate Modelling of a Monotone Disease Process in the Presence of Misclassification
Dynamic programming versus graph cut algorithms for fitting non-parametric models to image data
Hamzah et al.
Estimating Thermocline Depth In Lakes
Harrison et al.
Multilevel latent-class modelling of patient casemix
Heller and Neubauer
A Two-Stage Model for Actuarial Run-Off Triangles
Hincksman et al.
Imputation of household level multivariate discrete data from zonal census data
Huzurbazar et al.
Bayesian Change Point Detection with Two Wavelet Procedures
Robust Survival Trees Based on Node Resampling
Jagannathan and Matawie
Modeling internet congestion: lessons from Brownian motion
Jones et al.
A longitudinal model for multiple diagnostic tests: Bovine digital dermatitis
Jowaheer and Mamode Khan
Com-Poisson versus Negative-binomial Models for Over-dispersed Longitudinal Count Data
Kapetanakis et al.
A three-state semi-Markov model for left-, right-, and interval-censored data
Kavanagh et al.
Assessment of geographical differences in influenza burden using telehealth data: a spatial autoregressive approach
Spatial clustering of TB-infected cattle herds in Ireland prior to and following proactive badger removal
Cluster analysis for joint continuous and discrete correlated data
Kormaksson et al.
Identifying subtypes of Acute Myeloid Leukemia: A model based approach
Kuiper and Hoijtink
Generalization of the Order-Restricted Information Criterion: Illustrated
Additive model for the conditional location and dispersion of a smooth distribution when the observed data are interval censored
Lang et al.
Hierarchical Structured Additive Regression
Shadow Graphs for Contingency Tables
How do the health risks from air pollution vary across communities in Scotland?
Lee and Durb\'an
Spatial point pattern analysis: a multidimensional P-spline approach
Leton and Molanes-Lopez
Copula based estimate of the likelihood ratio function for combining continuous biomarkers
Little et al.
Parametric survival models in the presence of informative censoring
Lopez-Segovia et al.
Nonlinear transformations models: Application to mortality of calves.
MacDonald et al.
Semi-parametric Modelling for Extremes with Threshold Estimation
MacKenzie and Peng
Interval censored PH survival models for longitudinal data: precision of estimators
Magdalina et al.
Spatiotemporal Modelling of Nitrate and Phosphorus in River Catchments for England and Wales
Martin and Pardo
Multiple change-point identification in models valid for describing trends of disease incidence or mortality rates
Massa et al.
A multivariate approach for gene-sets comparison
Identifiability of causal effects in randomized experiments with noncompliance, nonignorable missing data, and binary outcomes
Mirkov et al.
Sigmoid Models Utilized in Optimization of Gas Transportation Networks
Morina et al.
A statistical model for hospital admissions caused by seasonal diseases
LASSO regression via smooth L_1-norm approximation
Muniz-Terrera et al.
Modelling random effects using GAMLSS
Naccarato and Zurlo
Least Orthogonal Distance Estimator for SEM based on Singular Value Decomposition
Oman et al.
A comparison of methods for factor analysis of multivariate geostatistical data
Palmer et al.
Spatial-Temporal Modelling of Extreme Rainfall
Restricted Maximum Likelihood Estimation in Joint Mean-Covariance Models
Pardo and Alonso
Fitting Global Cross-Ratio Models for Longitudinal data by Minimum phi-Divergence
Pedeli et al.
On composite likelihood estimation of a multivariate Poisson INAR(1) model
Pettitt et al.
Approximate Bayesian Computation using Auxiliary Model Based Estimates
On probabilities of avalanches triggered by alpine skiers. An empirically driven decision strategy for backcountry skiers based on these probabilities.
Poleto et al.
Sensitivity analysis for incomplete continuous data
Powell et al.
Estimating biologically plausible relationships between air pollution and health
Riebler et al.
Correlated GMRF priors for multivariate age-period-cohort models
Rippe and Eilers
Efficient semi-parametric SNP genotyping
Rodriguez-Alvarez et al.
A new flexible direct ROC regression model: Detection of cardiovascular risk factors by anthropometry.
Rogers and Hutton
Comparing treatment policies in early epilepsy through the joint modelling of pre-randomisation event rates and multiple post-randomisation survival times with extensions
Estimation of multiple correlated effects on a disease outcome for multilevel data
Russo et al.
Heteroscedastic nonlinear elliptical models for correlated data
Schnabel et al.
Haulm senescence in potatoes and semi-parametric survival models
Schrödle et al.
Analyzing veterinary surveillance data: Approaches to model the relationship between disease incidence and cattle trade
Slaets and Claeskens
Functional Clustering based on Multiresolution Warping
Smith and Bowman
Asymmetry in Breast Reconstruction Patients
Spatial small area estimation: a comparison of Non-parametric EBLUP and M-quantile GWR models
Confidence Intervals for Effect Sizes in a Meta-analysis based on Paired Comparisons and Independent Group Data
Suarez-Crespo et al.
Smoothing methods for analyzing spatial variability in heavy metal deposition
Taylor and Einbeck
Strategies for local smoothing in high dimensions: using density thresholds and adapted GCV
Titman et al.
Accounting for a non-ignorable tracing mechanism in a retrospective breast cancer cohort study
Ugarte et al.
Estimating food expenditure in small areas using the Spanish Household Budget Survey
Vaida et al.
Model Selection for Clustered Data: Conditional AIC under Generalized Linear and Proportional Hazards Mixed Models
Van den Hout et al.
Growth curve modelling of a latent time-dependent risk factor in a multi-state model for stroke
Ventrucci et al.
Spatiotemporal smoothing of brain magnetoencephalography data
Vieira et al.
Misspecification Effects in the Analysis of Longitudinal Survey Data
Vopatova et al.
Bandwidth Matrix Choice for Bivariate Kernel Density Derivative
Wagner and Duller
Bayesian variable selection with spike and slab priors in logit models
West et al.
Modelling an exposure--outcome relationship accommodating potential confounders on the causal path using a latent-class model
Zero Augmentation: A method for fitting zero-modified count models that allows both zero-inflation and zero-deflation
Modelling by using a smooth family of empirical distributions and an application to failure time data
Xu and MacKenzie
Modelling covariance structures for multivariate longitudinal data
Zaninotto and Sacker
Comparisons of methods for dealing with missing data in longitudinal studies



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