Cover Image

The Perceived Impact of Environment on Health in Italy: a Penalized Ordinal Regression Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stival, Mattia, Andreella, Angela, Bertarelli, Gaia, Midões, Catarina, Tonellato, Stefano Federico, 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 two-step model to study the inclusivity's distribution of Italian early childhood education and care services
by: Andreella, Angela, 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)

Topic-informed dynamic mixture model for occupational heterogeneity in health risk behaviors
by: Schiavon, Lorenzo, et al.
Published: (2025)

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

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

Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data
by: Hoshiyar, Aisouda, et al.
Published: (2023)

Analysis of Diurnal Air Temperature Trends and Pattern Similarities in Highland and Lowland Stations of Italy and UK
by: Meo, Chalachew Muluken Liyew. Rosa, et al.
Published: (2024)

Partially Regularized Ordinal Regression to Adjust Teams' Scoring for Strength of Schedule and Complementary Unit Performance in American Football
by: Skripnikov, Andrey, et al.
Published: (2025)

Identifying Time Patterns of Highland and Lowland Air Temperature Trends in Italy and UK across monthly and annual scales
by: Liyew, Chalachew Muluken, et al.
Published: (2024)

Cumulative Logit Ordinal Regression with Proportional Odds under Nonignorable Missing Response -- Application to Phase III Trial
by: Maity, Arnab Kumar, et al.
Published: (2025)

A Network-Guided Penalized Regression with Application to Proteomics Data
by: Ahn, Seungjun, et al.
Published: (2025)

Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)

Enhancing Stability and Assessing Uncertainty in Community Detection through a Consensus-based Approach
by: Morea, Fabio, et al.
Published: (2024)

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)

Dynamic Spatio-Temporal Sequential Ordinal Models: Application to Invasive Weeds
by: Hosack, Geoffrey R., et al.
Published: (2025)

Generalized Ordinal Patterns Allowing for Ties and Their Applications in Hydrology
by: Schnurr, Alexander, et al.
Published: (2024)

Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
by: Shao, Sisi, et al.
Published: (2024)

A contribution to discern the true impact of covid-19 on human mortality
by: Barone, Stefano
Published: (2024)

Three Distributional Approaches for PM10 Assessment in Northern Italy
by: De Sanctis, Marco F., et al.
Published: (2025)

A Comparative Study of Imputation Methods for Multivariate Ordinal Data
by: Wongkamthong, Chayut, et al.
Published: (2020)

Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression
by: Chen, Zhaomeng, et al.
Published: (2024)

Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)

Dynamic Skewness in Stochastic Volatility Models: A Penalized Prior Approach
by: Holtz, Bruno E., et al.
Published: (2025)

Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
by: Seaton, Andrew E., et al.
Published: (2026)

Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression
by: Tseng, Yen-hsuan
Published: (2025)

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)

A Bayesian Regression Approach for Estimating the Impact of COVID-19 on Consumer Behavior in the Restaurant Industry
by: Hinduja, H., et al.
Published: (2024)

Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
by: Mohankumar, Narmadha M., et al.
Published: (2024)

Addressing Outcome Reporting Bias in Meta-analysis: A Selection Model Perspective
by: Saracini, Alessandra Gaia, et al.
Published: (2024)

A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, 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)

Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
by: Pyne, Arijit, et al.
Published: (2022)

Quantile Predictions for Equity Premium using Penalized Quantile Regression with Consistent Variable Selection across Multiple Quantiles
by: Li, Shaobo, et al.
Published: (2025)

Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
by: Englert, Jacob, et al.
Published: (2024)

Auto-Regressive Standard Precipitation Index: A Bayesian Approach for Drought Characterization
by: Ghosh, Soham, et al.
Published: (2025)

Penalized Likelihood Methods for Modeling Count Data
by: Bui, Minh Thu, et al.
Published: (2021)

Adaptive Penalized Likelihood method for Markov Chains
by: Zhou, Yining, et al.
Published: (2024)

Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes
by: Tu, Shengxin, et al.
Published: (2025)

Penalized Linear Models for Highly Correlated High-Dimensional Immunophenotyping Data
by: Dong, Xiaoru, et al.
Published: (2025)