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36th International Workshop on Statistical Modelling, Trieste, Italy, 2022, Proceedings

Proceedings of the 36th International Workshop on Statistical Modelling: July 18-22, 2022, Trieste, Italy.

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Contents

Part I: Invited papers

Canale
Bayesian dimensionality reduction
Czado
Vine copula based stress testing
Davison
How long could a human live?
Jacqmin-Gadda et al.
Is blood pressure variability a risk factor for cerebro-vascular event? Joint modelling approaches
Kosmidis
Improved estimation through additive adjustment of estimating functions

Part II: Contributed papers

Adam et al.
State-switching varying-coefficient stochastic differential equations
Alonso-Pena and Crujeiras
Modelling zebrafish escape strategies with circular modal regression
Altay et al.
Spatial Modelling with Covariates for Survey Data with Positional Uncertainty
Angelelli and Catalano
A quantile regression ranking for cyber-risk assessment
Aristei et al.
Multidimensional latent mixed models for don't know responses in panel data concerning Financial knowledge
Arpino et al.
Evaluating the school effect using multilevel models: adjusting for pre-test or using gain scores?
Bertinelli Salucci et al.
A novel semi-supervised learning approach for maritime lithium-ion battery monitoring
Bianco et al.
Bernoulli-Gaussian model for dynamic sparsity in time varying parameter regression
Briseño Sanchez and Groll
Bivariate mixed binary-survival additive regression modelling
Brosolo et al.
Locating γ-Ray Sources on the Celestial Sphere via Mixture Models
Brown et al.
Spatial anisotropic modelling of the repeat/near repeat victimisation phenomenon
Carcaiso and Grilli
Analysis of count data by quantile regression coefficient modelling: student's gained credits after online teaching
Carlan and Kneib
Bayesian Discrete Conditional Transformation Models
Carollo et al.
Competing risks models with two time scales
Colombi et al.
A Responding Attitude Component in Hidden Markov Models
Colosimo et al.
Alternative Approaches to Dynamic Predictions: An Application on a Cohort of Patients with Chagas Disease
Cuevas Andrade et al.
Multi-state models as an alternative to joint models; estimating treatment eff ects using longitudinal data
Cuntrera et al.
Variable Selection with Quasi-Unbiased Estimation: the CDF Penalty
De Bastiani et al.
Exploring relationships using non-linear correlation coefficients
Doms et al.
Flexible joint model for time-to-event and non-Gaussian longitudinal outcomes
Eilers
Smoothing on Networks with P-splines
Freijeiro-González et al.
Detection of relevant covariates involved in casual rentals in the Capital bikeshare program of Washington, D.C., by means of new nonparametric specification tests for additive concurrent models formulation
Gioa et al.
A comparison of unconstrained parameterisations for additive mean and covariance matrix modelling
Gregorio et al.
Personalised effect of discontinuing treatment in Heart Failure patients through multi-state modeling
Gressani et al.
The power of Laplacian-P-splines for inference in epidemiological and survival models
Griesbach et al.
Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques
Hechinger et al.
Categorizing the World into Local Climate Zones - Towards Quantifying Labelling Uncertainty for Machine Learning Models
Hernández-Amaro et al.
Functional regression on variable domains: a penalized approach
Jackson et al.
Using saturated models for data synthesis
Lambardi di San Miniato et al.
Robust regression and adaptive filtering
Lambert and Kreyenfeld
Laplace approximation for penalty selection in double additive cure survival model with exogenous time-varying covariates
Lohrmann et al.
A modified dividing local Gaussian processes algorithm for theoretical particle physics applications
Márquez et al.
Estimation and classification in semiparametric nonlinear mixed models using P-Splines and the SAEM algorithm
Mascaretti and Canale
Bayesian Mixtures of Envelope Models
McInerney and Burke
Statistical Information-Criteria-Based Neural Network Input and Hidden Node Selection
Michels et al.
A varying coefficient state-space model for investigating betting behaviour within in-play markets
Midtfjord et al.
A boosting model for survival analysis with dependent censoring
Minotto et al.
Detecting statistical interactions in immune receptor datasets
Moriña et al.
Estimated Covid-19 burden in Spain: ARCH underreported non-stationary time series
Nejadi et al.
Movement Pattern Discovery With Applications In Elite Soccer
O'Neill and Burke
Automatic Variable Selection in Distributional Regression Models using a Smooth Information Criterion
Paige et al.
Aggregating from Point to Areal Prevalences: A complete Population Model
Papageorgiou and Kontoyiannis
Bayesian mixture models for time series based on context trees
Pohle et al.
Markov-switching step selection analysis
Rappl et al.
Spatial Joint Models through Bayesian Structured Additive Joint Modelling for Longitudinal and Time-to-Event Data
Ravi et al.
Non-linear modelling of systolic and diastolic blood pressures via environmental factors
Roshan et al.
Univariate and Multivariate Adaptive Reference Ranges for Longitudinal Monitoring
Salam and Grzegorczyk
Learning the structure of the mTOR protein signalling pathway
Schauberger et al.
Tree-based Modeling of Confounding Effects in Matched Case-Control Studies
Stauffer et al.
Graphical Assessment of Probabilistic Precipitation Forecasts
Sterzinger and Kosmidis
Maximum softly-penalized likelihood for mixed eff ects logistic regression
Stival et al.
Longitudinal clustering of athletes' careers under informative missing data patterns
Tray and Kontoyiannis
The Feature-First Block Model
Vávra and Komárek
GLMM Based Clustering of Multivariate Mixed Type Longitudinal Data
Ventrucci and Page
Adjusting for spatial confounding using eigendecomposed CAR models
Vinciotti and Wit
Hierarchical graphical modelling of microbiome interactions in related environments
Welsh et al.
Estimating quality-adjusted life-years: Assessing the bias induced for a terminal decline quality of life model
Zhang et al.
Bayesian Boosting for Simultaneous Estimation and Selection of Fixed and Random Eff ects in High-Dimensional Mixed Models
Zietkiewicz and Kosmidis
Mean and median bias reduction in generalized linear models with large data set

Part III : Contributed papers

42 further articles
Please open Proceedings Volume for Table of Contents.

 

 

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