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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Contents

Part I: Invited Papers

Aitkin

The past and future of statistical modelling

Dryden et al.

Statistical analysis of brains using diffusion tensor images

Rue

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

Eilers

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

Glasbey

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

Iglesias

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

Kelly

Spatial clustering of TB-infected cattle herds in Ireland prior to and following proactive badger removal

Komarek

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

Lambert

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

Lang

Shadow Graphs for Contingency Tables

Lee

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

Mercatanti

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

Muggeo

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

Papageorgiou

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

Pfeifer

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

Roli

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

Sofronov

Spatial small area estimation: a comparison of Non-parametric EBLUP and M-quantile GWR models

Staudte

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

Wilson

Zero Augmentation: A method for fitting zero-modified count models that allows both zero-inflation and zero-deflation

Worton

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