Copertina

Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Berrettini, Marco, Galimberti, Giuliano, Ranciati, Saverio, Murphy, Thomas Brendan
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Methodology Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On the application of Gaussian graphical models to paired data problems
di: Ranciati, Saverio, et al.
Pubblicazione: (2023)

A flexible and interpretable spatial covariance model for data on graphs
di: Christensen, Michael F., et al.
Pubblicazione: (2022)

Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
di: Wang, Qiao, et al.
Pubblicazione: (2024)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
di: Retegui, Garazi, et al.
Pubblicazione: (2024)

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

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

A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
di: Blasi, Federico, et al.
Pubblicazione: (2024)

Feature aware covariance estimation, with application to mixtures of chemical exposures
di: Bersson, Elizabeth, et al.
Pubblicazione: (2025)

Bayesian network-guided sparse regression with flexible varying effects
di: Ren, Yangfan, et al.
Pubblicazione: (2024)

A latent variable model for identifying and characterizing food adulteration
di: Casa, Alessandro, et al.
Pubblicazione: (2025)

Partial membership models for soft clustering of multivariate football player performance data
di: Seri, Emiliano, et al.
Pubblicazione: (2024)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
di: Xu, Zichun, et al.
Pubblicazione: (2026)

Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
di: Orsini, Léa, et al.
Pubblicazione: (2025)

Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
di: Wang, Ziyou, et al.
Pubblicazione: (2026)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
di: Saha, Satabdi, et al.
Pubblicazione: (2024)

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

Bayesian Evidence Synthesis for the common effect model
di: Nikolakopoulos, Stavros, et al.
Pubblicazione: (2021)

Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators
di: Padgett, R. Noah, et al.
Pubblicazione: (2023)

A new test for assessing the covariate effect in ROC curves
di: Fanjul-Hevia, Arís, et al.
Pubblicazione: (2024)

Hybrid methods for missing categorical covariates in Cox model
di: Dioni, Abdoulaye, et al.
Pubblicazione: (2025)

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

Consistent Bayesian meta-analysis on subgroup specific effects and interactions
di: Panaro, Renato, et al.
Pubblicazione: (2025)

Bayesian semiparametric modelling of biomarker variability in joint models
di: Chen, Sida, et al.
Pubblicazione: (2025)

A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
di: Morsomme, Raphael, et al.
Pubblicazione: (2024)

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

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

Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
di: Chen, Xinyuan, et al.
Pubblicazione: (2023)

The trade-off between model flexibility and accuracy of the Expected Threat model in football
di: van Arem, Koen W., et al.
Pubblicazione: (2025)

Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
di: Esser, Jonas, et al.
Pubblicazione: (2024)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
di: Sondhi, Arjun, et al.
Pubblicazione: (2024)

Tree models for covariate-dependent method agreement with repeated measurements in clinical research
di: Karapetyan, Siranush, et al.
Pubblicazione: (2026)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
di: Ameis, Lucia, et al.
Pubblicazione: (2026)

A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
di: Lenart, Łukasz, et al.
Pubblicazione: (2024)

A regularized multi-state model for covariate selection with interval-censored survival data
di: Bercu, Ariane, et al.
Pubblicazione: (2025)

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
di: Wu, Stephanie M., et al.
Pubblicazione: (2025)

A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma
di: Green, Nathan, et al.
Pubblicazione: (2024)

A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
di: Wang, Zhuoqun, et al.
Pubblicazione: (2021)

PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
di: Asenso, Theophilus Quachie, et al.
Pubblicazione: (2026)

Density regression via Dirichlet process mixtures of normal structured additive regression models
di: Rodríguez-Álvarez, María Xosé, et al.
Pubblicazione: (2024)

Identifying Treatment Effect Heterogeneity with Bayesian Hierarchical Adjustable Random Partition in Adaptive Enrichment Trials
di: Zhao, Xianglin, et al.
Pubblicazione: (2025)