Image de couverture de livre

Quantile mixed graphical models with an application to mass public shootings in the United States

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Merlo, Luca, Geraci, Marco, Petrella, Lea
Format:	Preprint
Publié:	2023
Sujets:	Applications Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market
par: Foroni, Beatrice, et autres
Publié: (2023)

Hidden Markov graphical models with state-dependent generalized hyperbolic distributions
par: Foroni, Beatrice, et autres
Publié: (2024)

Expectile hidden Markov regression models for analyzing cryptocurrency returns
par: Foroni, Beatrice, et autres
Publié: (2023)

On the application of Gaussian graphical models to paired data problems
par: Ranciati, Saverio, et autres
Publié: (2023)

Significant inference and confidence sets for graphical models
par: Koldanov, P. A., et autres
Publié: (2025)

Quantile regression for longitudinal functional data with application to feed intake of lactating sows
par: Battagliola, Maria Laura, et autres
Publié: (2023)

The Whittle likelihood for mixed models with application to groundwater level time series
par: Pypkowski, Jakub J., et autres
Publié: (2025)

A neighbour selection approach for identifying differential networks in conditional functional graphical models
par: Mapelli, Alessia, et autres
Publié: (2026)

Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance
par: Fontaine, Simon, et autres
Publié: (2026)

Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models
par: Zhou, Yi, et autres
Publié: (2024)

Skew-elliptical copula based mixed models for non-Gaussian longitudinal data with application to an HIV-AIDS study
par: Chattopadhyay, Subhajit
Publié: (2024)

A comparison of mixed-models for the analysis of non-linear longitudinal data: application to late-life cognitive trajectories
par: Wagner, Maude, et autres
Publié: (2024)

Quantile regression with generalized multiquadric loss function
par: Gao, Wenwu, et autres
Publié: (2025)

A marginal modelling approach for predicting wildfire extremes across the contiguous United States
par: D'Arcy, Eleanor, et autres
Publié: (2021)

Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
par: Wu, Dongxiao, et autres
Publié: (2023)

Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
par: Park, Seeun, et autres
Publié: (2024)

Multidimensional Stochastic Dominance Test Based on Center-outward Quantiles
par: Ma, Yiming, et autres
Publié: (2025)

Quantile balancing inverse probability weighting for non-probability samples
par: Beręsewicz, Maciej, et autres
Publié: (2024)

Quantile Predictions for Equity Premium using Penalized Quantile Regression with Consistent Variable Selection across Multiple Quantiles
par: Li, Shaobo, et autres
Publié: (2025)

A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
par: Wang, Zirui, et autres
Publié: (2025)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
par: Lyu, Rongke, et autres
Publié: (2026)

Asymptotics of numerical integration for two-level mixed models
par: Stringer, Alex, et autres
Publié: (2022)

Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
par: Saddiki, Hachem, et autres
Publié: (2025)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
par: Bae, Woojung, et autres
Publié: (2026)

MM Algorithms for Statistical Estimation in Quantile Regression
par: Cheng, Yifan, et autres
Publié: (2024)

Deep mixture of linear mixed models for complex longitudinal data
par: Kock, Lucas, et autres
Publié: (2023)

A mixed effects cosinor modelling framework for circadian gene expression
par: Gorczyca, Michael T.
Publié: (2024)

Multi-Fidelity Quantile Regression
par: Liu, Yixiang, et autres
Publié: (2026)

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
par: Aiello, Luca, et autres
Publié: (2025)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
par: St-Pierre, Julien, et autres
Publié: (2025)

Proxy Variable in OECD Database: Application of Parametric Quantile Regression and Median Based Unit Rayleigh Distribution
par: Attia, Iman Mohamed
Publié: (2025)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)

Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
par: Wu, Hanqing, et autres
Publié: (2026)

Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market
par: Franzolini, Beatrice, et autres
Publié: (2022)

Identifying Genetic Variants for Obesity: A Knowledge Integration Quantile Regression (KIQR) Approach for Ultra-High-Dimensional Data
par: Wang, Jiantong, et autres
Publié: (2024)

Trajectory-informed graph-based clustering for longitudinal cancer subtyping
par: Cavinato, Lara, et autres
Publié: (2026)

A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
par: Sareff-Hibbert, Aydin, et autres
Publié: (2024)

Spatiotemporal factor models for functional data with application to population map forecast
par: Wakayama, Tomoya, et autres
Publié: (2023)

Generalized logistic model for $r$ largest order statistics, with hydrological application
par: Shin, Yire, et autres
Publié: (2024)

Group integrative dynamic factor models with application to multiple subject brain connectivity
par: Kim, Younghoon, et autres
Publié: (2023)