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34th International Workshop on Statistical Modelling, Guimarães,
UK, 2019, Proceedings
Proceedings of the
34th International
Workshop on Statistical Modelling. 7th-12th July 2019, Guimarães, Portugal.
[ Download Proceedings Volume 1 Volume 2 ]
Contents
Part I: Invited Papers
- Bowman et al.
- Statistics with a Human Face
- Diggle et al.
- Longitudinal modelling of leptospirosis using serial dilution assay data
- Lambert
- Inference based on Laplace approximations in
nonparametric additive location-scale model for right- or interval censored
data
- Singer et al.
- Random changepoint segmented regression with
smooth transition: an example with lateral amyotrophic sclerosis
data
- Turkman et al.
- Calibration methods for spatial
risk analysis
Part II: Contributed Papers (Volume I)
Aitkin Statistical modelling for income inequality comparisons
Rodrigues Synthetic data as Public Use Files: an application to the Household Budget Survey
Campos et al. Small Area Estimation for Land Use and Land Cover
Pohle et al. Modeling interactions between individuals using coupled hidden Markov models
Tran et al. Latent Ornstein-Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses
Groll and Hohberg An adaptive lasso Cox frailty model for time-varying covariates based on the full likelihood
Oliveira et al. Simultaneous autoregressive models within GAMLSS
Arima and Polettini Variable selection in small area model with measurement error in covariates
Barone and Tancredi Markov Chain Monte Carlo methods for discretely observed continuous-time multi-state semi-Markov models
Camarda Forecasting vital rates from demographic summary measures
Currie Invariance and the forecasting of mortality
Ribeiro et al. COM-Poisson models with varying dispersion
Economou and Menary A latent state model for characterising regime shifts in ocean density
Roos et al. Sensitivity and identification quantification by a relative latent model complexity perturbation in the Bayesian meta-analysis
Guedes et al. Improved likelihood ratio testing inferences for unit gamma regressions
de Carvalho et al. Learning and modelling dependence structures with diagonal distributions
Ötting et al. A copula-based multivariate hidden Markov model for modelling momentum in football
Clarke and Bao Estimating mode effects from a sequential mixed-modes experiment
Adam et al. Nonparametric inference in hidden Markov models for time series of counts
Schneble and Kauermann Estimation of Latent Network Flow in Bike-Sharing Systems from Station Feeds
Pereira et al. Calibration of extreme values of simulated and real data
Friedl and Omerovic Mixtures of Generalized Nonlinear Models
Klein et al. Neural Network Regression with an Application to Leukaemia Survival Data -- An Unstructured Distributional Approach
Peng Degradation Models in Reliability Analysis
Amoros et al. A longitudinal continuous time hidden Markov model on serum biomarkers for the early detection of hepatocellular carcinoma
Mews et al. A continuous-time capture-recapture model for annual movements of bottlenose dolphins
Sottosanti et al. Continuous time hidden Markov models for astronomical gamma-ray light curves
Steele and Grundy Random effects dynamic panel models for unequally-spaced responses
de Carvalho et al. Density regression via penalised splines dependent Dirichlet process mixture of normals models
Wang and van den Hout Non-parametric Frailty Models for Cardiac Allograft Vasculopathy Data
Marx and Li Robust Penalized Signal Regression
Safari et al. Nonparametric cure rate estimation when cure is partially known
De Bastiani et al. A skewness and kurtosis comparison for continuous distributions
de Uña-Álvarez The competing risks model with interval sampling
Kneib et al. Modular Regression -- A Lego System for Building Structured Additive Distributional Regression Models with Tensor Product Interactions
Lebacher and Kauermann Regression-based Network Reconstruction with Covariates and Random Effects
Schlosser et al. Distributional Trees for Circular Data
Margaritella et al. Bayesian functional PCA clustering with applications in neuroscience
Constans et al. Non-parametric learning algorithm for evaluating the influence of environmental factors on sudden medical emergencies
Mayr et al. Boosting health-related quality of life via distributional beta regression
Morettin and Sampaio Stable Randomized Generalized Autoregressive Conditional Heteroskedastic Models
Moriña et al. Intervention analysis based on INAR models with applications in public health
Lesaffre et al. Selecting the Number of Factors in Bayesian Factor Analysis
Pedeli and Karlis Multivariate surveillance using a multivariate integer-valued time series model
Ridall et al. Fast sequential Bayesian analysis of football scores illustrating the evolution of the styles and strengths of each of the British premier league football sides over two decades
Simonoff and Zhang Joint latent class trees: A tree-based approach to joint modeling of time-to-event and longitudinal data
Dutta and Chakraborty Two-step method for Joint Models of Longitudinal and Time-to-event Data
Bernardi et al. Bayesian Probit Classification Trees
de Carvalho et al. Robust inference for ROC regression
van Niekerk et al. A cohesive Bayesian approach to competing risks models
Wiemann and Kneib Studying the Softplus Function as a Response Function in Regression Models
Sottile and Muggeo Non-crossing quantile regression via monotone B-spline varying coefficients
Narayanan et al. Flexible multivariate point processes with applications to modelling football matches
Sousa et al. Longitudinal models with informative time measurements
Puig et al. Estimation of the probability of a giant 'doomsday' solar geomagnetic storm
Chen and Ghosal Diagnostic accuracy of ultrasound measures on large for gestational age: a Bayesian regression model for ROC curves with constraints
Pimentel Maia et al. A discrete competing risks mixed model with masked causes: a cow longevity study
Part III: Contributed Papers (Volume II)
94 further articles Please open Proceedings Volume 2 for Table of Contents.
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