Cover Image

Topic-informed dynamic mixture model for occupational heterogeneity in health risk behaviors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schiavon, Lorenzo, Stival, Mattia, Andreella, Angela, Campostrini, Stefano
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Bayesian approach to uncover local and temporal determinants of heterogeneity in repeated cross-sectional health surveys
by: Stival, Mattia, et al.
Published: (2024)

Communicating complex statistical models to a public health audience: translating science into action with the FARSI approach
by: Stival, Mattia, et al.
Published: (2025)

The Perceived Impact of Environment on Health in Italy: a Penalized Ordinal Regression Approach
by: Stival, Mattia, et al.
Published: (2025)

A two-step model to study the inclusivity's distribution of Italian early childhood education and care services
by: Andreella, Angela, et al.
Published: (2024)

Spatial clusters for demand and supply of childcare services in Italy
by: Angela, Andreella, et al.
Published: (2024)

Selective inference for fMRI cluster-wise analysis, issues, and recommendations for critical vector selection: A comment on Blain et al
by: Andreella, Angela, et al.
Published: (2023)

A multiscale Bayesian nonparametric framework for partial hierarchical clustering
by: Schiavon, Lorenzo, et al.
Published: (2024)

A censored mixture model for modeling risk taking
by: Dijkstra, Nienke F. S., et al.
Published: (2020)

Evaluating multi-season occupancy models with autocorrelation fitted to heterogeneous datasets
by: Luza, André Luís, et al.
Published: (2025)

To breed or not to breed: Territory occupancy is predicted by reproductive performance and habitat heterogeneity
by: Andrés López‐Peinado, et al.
Published: (2024)

Passive acoustic monitoring can provide insights into occupancy dynamics and impacts of disturbance for at‐risk species
by: Jason M. Winiarski, et al.
Published: (2026)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)

A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)

A varying-coefficient model for characterizing duration-driven heterogeneity in flood-related health impacts
by: Aggarwal, Sarika, et al.
Published: (2026)

Disclosure risk assessment with Bayesian non-parametric hierarchical modelling
by: Battiston, Marco, et al.
Published: (2024)

Spatial occupancy models for data collected on stream networks
by: Gimenez, Olivier
Published: (2024)

The expected value of sample information calculations for external validation of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2024)

Methods to derive uncertainty intervals for lifetime risks for lung cancer related to occupational radon exposure
by: Sommer, Manuel, et al.
Published: (2024)

Online activity prediction via generalized Indian buffet process models
by: Beraha, Mario, et al.
Published: (2025)

Enhancing parameter estimation in finite mixture of generalized normal distributions
by: Duttilo, Pierdomenico, et al.
Published: (2024)

Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
by: Huang, Zhuochao, et al.
Published: (2026)

Bayesian estimation of finite mixtures of Tobit models
by: Waisman, Caio
Published: (2024)

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection
by: Gao, Shan, et al.
Published: (2025)

Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, et al.
Published: (2026)

Quantifying sleep apnea heterogeneity using hierarchical Bayesian modeling
by: Palmer, Glenn, et al.
Published: (2025)

Modeling complex species-environment relationships through spatially-varying coefficient occupancy models
by: Doser, Jeffrey W., et al.
Published: (2023)

A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)

A heavy-tail arctan-based mixture model for modelling and measuring actuarial risk
by: Kumar, Pankaj, et al.
Published: (2025)

Tail risk forecasting with semi-parametric regression models by incorporating overnight information
by: Chen, Cathy W. S., et al.
Published: (2024)

Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)

Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)

Comparing methods to assess treatment effect heterogeneity in general parametric regression models
by: Chen, Yao, et al.
Published: (2025)

A multilevel model with heterogeneous variances for snap timing in the National Football League
by: Nguyen, Quang, et al.
Published: (2025)

Nodal heterogeneity can induce ghost triadic effects in relational event models
by: Juozaitienė, Rūta, et al.
Published: (2022)

Hierarchical Bayesian model updating using Dirichlet process mixtures for structural damage localization
by: Yaoyama, Taro, et al.
Published: (2025)

A bivariate spatial extreme mixture model for unreplicated heavy metal soil contamination
by: Cuba, M. Daniela, et al.
Published: (2024)

Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
by: Valleggi, Lorenzo, et al.
Published: (2023)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
by: Bo, Na, et al.
Published: (2024)

A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records
by: Gao, Shan, et al.
Published: (2024)

Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
by: André, Lídia M., et al.
Published: (2025)