Model-based clustering using a new mixture of circular regressions
Fuente:
arXiv
Guardado en:
| Autores principales: | Skhosana, Sphiwe B., Rad, Najmeh Nakhaei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Robust semi-parametric mixtures of linear experts using the contaminated Gaussian distribution
por: Mambondimumwe, Peterson, et al.
Publicado: (2026)
por: Mambondimumwe, Peterson, et al.
Publicado: (2026)
Nonparametric contaminated Gaussian mixture of regressions
por: Skhosana, Sphiwe B., et al.
Publicado: (2026)
por: Skhosana, Sphiwe B., et al.
Publicado: (2026)
Shifted asymmetric Laplace mixtures of experts
por: Skhosana, Sphiwe B., et al.
Publicado: (2026)
por: Skhosana, Sphiwe B., et al.
Publicado: (2026)
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)
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)
Bayesian low-rank latent-cluster regression for mixed health outcomes
por: Huang, Hsin-Hsiung, et al.
Publicado: (2026)
por: Huang, Hsin-Hsiung, et al.
Publicado: (2026)
Nonparametric multimodal regression for circular data
por: Alonso-Pena, María, et al.
Publicado: (2020)
por: Alonso-Pena, María, et al.
Publicado: (2020)
Nonparametric regression for a circular response with error-in-covariate
por: Woolsey, Nicholas, et al.
Publicado: (2025)
por: Woolsey, Nicholas, et al.
Publicado: (2025)
Cholesky-based multivariate Gaussian regression
por: Muschinski, Thomas, et al.
Publicado: (2021)
por: Muschinski, Thomas, et al.
Publicado: (2021)
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)
A Bayesian regression framework for circular models with INLA
por: Ye, Xiang, et al.
Publicado: (2026)
por: Ye, Xiang, et al.
Publicado: (2026)
Rank-based Bayesian clustering via covariate-informed Mallows mixtures
por: Eliseussen, Emilie, et al.
Publicado: (2023)
por: Eliseussen, Emilie, et al.
Publicado: (2023)
Density regression via Dirichlet process mixtures of normal structured additive regression models
por: Rodríguez-Álvarez, María Xosé, et al.
Publicado: (2024)
por: Rodríguez-Álvarez, María Xosé, et al.
Publicado: (2024)
Simulating signed mixtures
por: Stoehr, Julien, et al.
Publicado: (2024)
por: Stoehr, Julien, et al.
Publicado: (2024)
Insights into regression-based cross-temporal forecast reconciliation
por: Girolimetto, Daniele, et al.
Publicado: (2024)
por: Girolimetto, Daniele, et al.
Publicado: (2024)
Mean regression for (0,1) responses via beta scale mixtures
por: Otto, Arno, et al.
Publicado: (2026)
por: Otto, Arno, et al.
Publicado: (2026)
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)
A mixture transition distribution modeling for higher-order circular Markov processes
por: Ogata, Hiroaki, et al.
Publicado: (2023)
por: Ogata, Hiroaki, et al.
Publicado: (2023)
Sleep pattern profiling using a finite mixture of contaminated multivariate skew-normal distributions on incomplete data
por: Pillay, Jason, et al.
Publicado: (2025)
por: Pillay, Jason, et al.
Publicado: (2025)
Estimating equations for survival analysis with pooled logistic regression
por: Zivich, Paul N, et al.
Publicado: (2025)
por: Zivich, Paul N, et al.
Publicado: (2025)
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
por: Burger, Divan A., et al.
Publicado: (2025)
por: Burger, Divan A., et al.
Publicado: (2025)
Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
por: Pillay, Jason, et al.
Publicado: (2025)
por: Pillay, Jason, et al.
Publicado: (2025)
Constrained mixtures of generalized normal distributions
por: Duttilo, Pierdomenico, et al.
Publicado: (2025)
por: Duttilo, Pierdomenico, et al.
Publicado: (2025)
Semi-parametric least-area linear-circular regression through Möbius transformation
por: Biswas, Surojit, et al.
Publicado: (2024)
por: Biswas, Surojit, et al.
Publicado: (2024)
On the application of Jammalamadaka-Jiménez Gamero-Meintanis test for circular regression model assessment
por: Halaj, Katarina, et al.
Publicado: (2024)
por: Halaj, Katarina, et al.
Publicado: (2024)
Interval-censored linear quantile regression
por: Choi, Taehwa, et al.
Publicado: (2024)
por: Choi, Taehwa, et al.
Publicado: (2024)
Adaptive greedy forward variable selection for linear regression models with incomplete data using multiple imputation
por: Lee, Yong-Shiuan
Publicado: (2022)
por: Lee, Yong-Shiuan
Publicado: (2022)
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)
Continuous mixtures of Gaussian processes as models for spatial extremes
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026)
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026)
Gradient-based optimization for variational empirical Bayes multiple regression
por: Banerjee, Saikat, et al.
Publicado: (2024)
por: Banerjee, Saikat, et al.
Publicado: (2024)
A note on auxiliary mixture sampling for Bayesian Poisson models
por: Gardini, Aldo, et al.
Publicado: (2025)
por: Gardini, Aldo, et al.
Publicado: (2025)
MCMC for Bayesian nonparametric mixture modeling under differential privacy
por: Beraha, Mario, et al.
Publicado: (2023)
por: Beraha, Mario, et al.
Publicado: (2023)
CR-Lasso: Robust cellwise regularized sparse regression
por: Su, Peng, et al.
Publicado: (2023)
por: Su, Peng, et al.
Publicado: (2023)
Handling cellwise outliers by sparse regression and robust covariance
por: Raymaekers, Jakob, et al.
Publicado: (2019)
por: Raymaekers, Jakob, et al.
Publicado: (2019)
Change-point regression with a smooth additive disturbance
por: Pein, Florian, et al.
Publicado: (2021)
por: Pein, Florian, et al.
Publicado: (2021)
Hierarchical shot-noise Cox process mixtures for clustering across groups
por: Carminati, Alessandro, et al.
Publicado: (2025)
por: Carminati, Alessandro, et al.
Publicado: (2025)
Bayesian clustering of high-dimensional data via latent repulsive mixtures
por: Ghilotti, Lorenzo, et al.
Publicado: (2023)
por: Ghilotti, Lorenzo, et al.
Publicado: (2023)
Laplace and skew-Laplace approximations for Dirichlet process mixture posterior density
por: Franzolini, Beatrice, et al.
Publicado: (2026)
por: Franzolini, Beatrice, et al.
Publicado: (2026)
Least trimmed squares regression with missing values and cellwise outliers
por: Raymaekers, Jakob, et al.
Publicado: (2026)
por: Raymaekers, Jakob, et al.
Publicado: (2026)
Variational approximate penalized credible regions for Bayesian grouped regression
por: Yu, Weichang, et al.
Publicado: (2026)
por: Yu, Weichang, et al.
Publicado: (2026)
Ejemplares similares
-
Robust semi-parametric mixtures of linear experts using the contaminated Gaussian distribution
por: Mambondimumwe, Peterson, et al.
Publicado: (2026) -
Nonparametric contaminated Gaussian mixture of regressions
por: Skhosana, Sphiwe B., et al.
Publicado: (2026) -
Shifted asymmetric Laplace mixtures of experts
por: Skhosana, Sphiwe B., et al.
Publicado: (2026) -
MSmix: An R Package for clustering partial rankings via mixtures of Mallows Models with Spearman distance
por: Crispino, Marta, et al.
Publicado: (2024) -
CliPS -- How to identify cluster distributions in Bayesian mixture models
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2026)