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32nd International Workshop on Statistical Modelling, Groningen,
Netherlands, 2017, Proceedings
Marco Grzegorczyk and Giacomo Ceoldo (Eds.)
Proceedings of the
32nd International
Workshop on Statistical Modelling. July 3-7, 2017, Groningen, Netherlands.
[ Download Proceedings Volume 1 Volume 2 ]
Contents
Part I: Invited Papers
- Langrock
- Nonparametric inference in hidden Markov and related models
- Sangalli
- Functional data analysis, spatial data analysis and partial differential equations: A fruitful union
- Goeman and Solari
- Minimal adequate models: Assessing uncertainty in variable selection
- Lesaffre et al.
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Why bothering about interval censoring?
- Baayen et al.
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Language comprehension as a multiple label classification problem
Part II: Contributed Papers (Volume I)
Stolfi et al The Multivariate Method of Simulated Quantiles for
Portfolio Optimisation
Mariñas et al Gaussian Process model for evolving 3D lip curves
Behrouzi and Wit Construction of High-resolution Linkage Maps Using Discrete Graphical Models
Lazarus et al Inference in complex systems using multi-phase
MCMC sampling with gradient matching burn-in
Pohle and Langrock Pragmatic order selection in hidden Markov models
Núñez-Antón and Cepeda-Cuervo Spatial Conditional Overdispersed Models:
Application to count area data
Ferguson et al Constructing wildebeest density distributions by spatio-temporal smoothing of
ordinal categorical data using GAMs
Venkatasubramaniam et al Spatio-temporal clustering of traffic networks
Jacobs et al Bayesian variable selection for identifying the source of food-borne disease outbreaks
Pazira and Wit Using extended dgLARS to study Diabetes
Staerk and Kateri Stable Variable Selection with AdaSub
Mayr et al Boosting distributional regression models for multivariate responses
Groll et al LASSO-type penalization in the framework of Generalized Additive Models for Location, Scale and Shape
Stöcker et al Boosting Generalized Additive Models for Location, Scale and Shape for Functional Data
Hambuckers et al Markov-Switching GAMLSS with an Application to Operational Losses
Melo et al Aggregate Claims Modelling via Dynamic Score Driven Models
Hohberg et al Enhancing predictive performance of vulnerability to poverty estimates
Möller and Groß A heteroscedastic
probabilistic temperature forecasting model incorporating spread-error correlation and high-resolution forecasts
Gebetsberger et al Probabilistic temperature post-processing using a skewed response distribution
Simon et al Boosting multivariate Gaussian models for probabilistic temperature forecasts
Kirch et al Generalization of the Whittle likelihood for nonparametric spectral density estimation
Signorelli and Wit Model-based clustering for populations of networks
Snijders et al Generalized Method of Moments for Estimating the Parameters of Stochastic
Actor-oriented Models
Bartolucci et ali Stochastic block models for social network data: inferential developments
Kamalabad and Grzegorczyk A sequentially coupled non-homogeneous dynamic Bayesian
network model with segment-specific coupling strengths
Zahid and Heumann Multiple imputation for high-dimensional
data using sequential penalized regression
Barros Gomes and Russo REML in nonlinear mixed-effects models
with heavy-tailed distributions
Paun et al Parameter Inference in the Pulmonary Circulation of Mice
Pedeli and Varin The Pairwise Expectation Maximization Algorithm for Fitting Parameter-Driven Models
Fasola et al Estimating abrupt change models with covariate-dependent changepoint
Rusá et al
Identifying influential observations in complex Bayesian mediation models
Ventrucci et al Penalized complexity priors for varying coefficient models
Einbeck et al Confidence intervals for posterior intercepts, with application to the PIAAC literacy survey
Simone and Tutz Dealing with response styles in finite mixture models
Sahu et al Extending the inferential capability of a generalised partial
credit model using Bayesian computation: An application to an international disability survey developed by WHO and the World Bank
Schauberger et al Response Styles in the Partial Credit Model
Manuguerra et al Semi-parametric ordinal regression models for continuous scales
Vanbelle and Lesaffre Modeling agreement on continuous recordings in the presence of a binary scale
Wagner and Frühwirth-Schnatter Bayesian Inference for Mixed Effects Multinomial Logit Models
Agresti and Tarantola Simple Effect Measures for Interpreting Models for Ordinal Categorical Data
Eilers The truth about the effective dimension
Cilluffo et al Score inference in LASSO regression
Alexander et al Using chain graph models for structural inference with an application to linguistic data
Wilson and Einbeck Sample quantiles corresponding to mid p-values for zero--modification tests
Blas et al Two wrongs make a right: addressing underreporting in binary data from multiple sources
Meira-Machado and Sampaio Estimation of multivariate distributions for recurrent event data
Burke and MacKenzie Multi-Parameter Regression and Frailty
Do Ha and Kim Comparison of Semiparametric Copula and Frailty Models for Clustered Survival Data
Fu and Simonoff Conditional inference survival trees for nonstandard data
Waldmannm et al Bayesian Joint Modelling of Distributional Regression
Husken et aln Incorporating cyclical effects and time-varying covariates in models for single-source capture-recapture data
Giurghita and Husmeier Statistical modelling of cell movement
Chauvet et al Regularisation of Generalised Linear
Mixed Models with autoregressive random effect
Matawie et al Optimal Number of Clusters Based on Inter Cluster Elements Mapping
van de Kassteele et al Nowcasting infectious disease outbreaks using constrained P-spline smoothing
Richter et al A general statistical framework to study the diversification of species
Part III: Contributed Papers (Volume II)
64 further articles Please open Proceedings Volume 2 for Table of Contents.
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