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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.
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- 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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