Rank-based Bayesian clustering via covariate-informed Mallows mixtures
Fuente:
arXiv
Guardado en:
| Autores principales: | Eliseussen, Emilie, Frigessi, Arnoldo, Vitelli, Valeria |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MSmix: An R Package for clustering partial rankings via mixtures of Mallows Models with Spearman distance
por: Crispino, Marta, et al.
Publicado: (2024)
por: Crispino, Marta, et al.
Publicado: (2024)
Model-based clustering for covariance matrices via penalized Wishart mixture models
por: Cappozzo, Andrea, et al.
Publicado: (2024)
por: Cappozzo, Andrea, et al.
Publicado: (2024)
Bayesian Semiparametric Mixture Cure (Frailty) Models
por: Kızılaslan, Fatih, et al.
Publicado: (2025)
por: Kızılaslan, Fatih, et al.
Publicado: (2025)
Non-Parametric Bayesian Inference for Partial Orders with Ties from Rank Data observed with Mallows Noise
por: Chuxuan, et al.
Publicado: (2024)
por: Chuxuan, et al.
Publicado: (2024)
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models
por: Eide, Simen, et al.
Publicado: (2024)
por: Eide, Simen, et al.
Publicado: (2024)
Bayesian clustering of high-dimensional data via latent repulsive mixtures
por: Ghilotti, Lorenzo, et al.
Publicado: (2023)
por: Ghilotti, Lorenzo, et al.
Publicado: (2023)
Simultaneous global and local clustering in multiplex networks with covariate information
por: Corneck, Joshua, et al.
Publicado: (2025)
por: Corneck, Joshua, et al.
Publicado: (2025)
Clustered Mallows Model
por: Piancastelli, Luiza S. C., et al.
Publicado: (2024)
por: Piancastelli, Luiza S. C., et al.
Publicado: (2024)
Functional structural equation modeling with latent variables
por: Asgari, Fatemeh, et al.
Publicado: (2024)
por: Asgari, Fatemeh, et al.
Publicado: (2024)
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
por: Berrettini, Marco, et al.
Publicado: (2021)
por: Berrettini, Marco, et al.
Publicado: (2021)
NExON-Bayes: A Bayesian approach to network estimation informed by ordinal covariates
por: Feest, Joseph, et al.
Publicado: (2025)
por: Feest, Joseph, et al.
Publicado: (2025)
CliPS -- How to identify cluster distributions in Bayesian mixture models
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2026)
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2026)
A tree perspective on stick-breaking models in covariate-dependent mixtures
por: Horiguchi, Akira, et al.
Publicado: (2022)
por: Horiguchi, Akira, et al.
Publicado: (2022)
Omitted covariates bias and finite mixtures of regression models for longitudinal responses
por: Alfo', Marco, et al.
Publicado: (2026)
por: Alfo', Marco, et al.
Publicado: (2026)
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
por: López-Cheda, Ana, et al.
Publicado: (2024)
por: López-Cheda, Ana, et al.
Publicado: (2024)
Spatially Varying Coefficient Mallows Model Averaging
por: Yong, Zhuang, et al.
Publicado: (2026)
por: Yong, Zhuang, et al.
Publicado: (2026)
Feature aware covariance estimation, with application to mixtures of chemical exposures
por: Bersson, Elizabeth, et al.
Publicado: (2025)
por: Bersson, Elizabeth, et al.
Publicado: (2025)
Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights
por: Iwashige, Fumiya, et al.
Publicado: (2025)
por: Iwashige, Fumiya, et al.
Publicado: (2025)
Blessing of dimension in Bayesian inference on covariance matrices
por: Chattopadhyay, Shounak, et al.
Publicado: (2024)
por: Chattopadhyay, Shounak, et al.
Publicado: (2024)
Bayesian nonparametric mixtures of Archimedean copulas
por: Pan, Ruyi, et al.
Publicado: (2024)
por: Pan, Ruyi, et al.
Publicado: (2024)
Generalized optimal parameter-transfer learning through Mallows-type model averaging
por: Jiang, Fen, et al.
Publicado: (2025)
por: Jiang, Fen, et al.
Publicado: (2025)
Model-based clustering using a new mixture of circular regressions
por: Skhosana, Sphiwe B., et al.
Publicado: (2026)
por: Skhosana, Sphiwe B., et al.
Publicado: (2026)
Large covariance matrix estimation with factor-assisted variable clustering
por: Li, Dong, et al.
Publicado: (2025)
por: Li, Dong, et al.
Publicado: (2025)
Unsupervised Bayesian classification for models with scalar and functional covariates
por: Garcia, Nancy L., et al.
Publicado: (2022)
por: Garcia, Nancy L., et al.
Publicado: (2022)
Posterior covariance information criterion for general loss functions
por: Iba, Yukito, et al.
Publicado: (2022)
por: Iba, Yukito, et al.
Publicado: (2022)
Bounding causal effects with an unknown mixture of informative and non-informative missingness
por: Rubinstein, Max, et al.
Publicado: (2024)
por: Rubinstein, Max, et al.
Publicado: (2024)
Bayesian repulsive mixture model for multivariate functional data
por: Pedroso, Ricardo Cunha, et al.
Publicado: (2026)
por: Pedroso, Ricardo Cunha, et al.
Publicado: (2026)
A Bayesian mixture model for Poisson network autoregression
por: Hung, Elly, et al.
Publicado: (2024)
por: Hung, Elly, et al.
Publicado: (2024)
High-dimensional covariance matrix regularization using informative targets
por: Rehman, Atiq Ur, et al.
Publicado: (2025)
por: Rehman, Atiq Ur, et al.
Publicado: (2025)
Bayesian Rank-Clustering
por: Pearce, Michael, et al.
Publicado: (2024)
por: Pearce, Michael, et al.
Publicado: (2024)
Bayesian estimation of covariate assisted principal regression for brain functional connectivity
por: Park, Hyung G.
Publicado: (2023)
por: Park, Hyung G.
Publicado: (2023)
Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies
por: Reinikainen, Jaakko, et al.
Publicado: (2016)
por: Reinikainen, Jaakko, et al.
Publicado: (2016)
General Bayesian inference for causal effects using covariate balancing procedure
por: Orihara, Shunichiro, et al.
Publicado: (2024)
por: Orihara, Shunichiro, et al.
Publicado: (2024)
Efficient Bayesian Inference in the Cox Model via Rank-Ordered Likelihood
por: Ohigashi, Tomohiro, et al.
Publicado: (2026)
por: Ohigashi, Tomohiro, et al.
Publicado: (2026)
Hierarchical shot-noise Cox process mixtures for clustering across groups
por: Carminati, Alessandro, et al.
Publicado: (2025)
por: Carminati, Alessandro, et al.
Publicado: (2025)
Rank-adaptive covariance testing with applications to genomics and neuroimaging
por: Veitch, David, et al.
Publicado: (2023)
por: Veitch, David, et al.
Publicado: (2023)
Analysis of spatially clustered survival data with unobserved covariates using SBART
por: Ghosh, Durbadal, et al.
Publicado: (2024)
por: Ghosh, Durbadal, et al.
Publicado: (2024)
A Bayesian multivariate extreme value mixture model
por: Hu, Chenglei, et al.
Publicado: (2024)
por: Hu, Chenglei, et al.
Publicado: (2024)
Multilevel mixtures of latent trait analyzers for clustering multi-layer bipartite networks
por: Failli, Dalila, et al.
Publicado: (2023)
por: Failli, Dalila, et al.
Publicado: (2023)
Trajectory-informed graph-based clustering for longitudinal cancer subtyping
por: Cavinato, Lara, et al.
Publicado: (2026)
por: Cavinato, Lara, et al.
Publicado: (2026)
Ejemplares similares
-
MSmix: An R Package for clustering partial rankings via mixtures of Mallows Models with Spearman distance
por: Crispino, Marta, et al.
Publicado: (2024) -
Model-based clustering for covariance matrices via penalized Wishart mixture models
por: Cappozzo, Andrea, et al.
Publicado: (2024) -
Bayesian Semiparametric Mixture Cure (Frailty) Models
por: Kızılaslan, Fatih, et al.
Publicado: (2025) -
Non-Parametric Bayesian Inference for Partial Orders with Ties from Rank Data observed with Mallows Noise
por: Chuxuan, et al.
Publicado: (2024) -
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models
por: Eide, Simen, et al.
Publicado: (2024)