Cover Image

BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	da Cruz, Ana Carolina, de Souza, Camila P. E.
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors
by: da Cruz, Ana Carolina, et al.
Published: (2024)

Variational Inference for Variable Selection in Scalar-on-Function Regression
by: da Cruz, Ana Carolina, et al.
Published: (2026)

Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
by: Sousa, Pedro Henrique T. O., et al.
Published: (2023)

A Bayesian Nonparametric Approach for Clustering Functional Trajectories over Time
by: Liang, Mingrui, et al.
Published: (2024)

Bayesian Functional Graphical Models with Change-Point Detection
by: Liu, Chunshan, et al.
Published: (2024)

A Bayesian INLA-SPDE Approach to Spatio-Temporal Point-Grid Fusion with Change-of-Support and Misaligned Covariates
by: Zheng, Weiyue, et al.
Published: (2025)

Model-based Clustering of Multi-Dimensional Zero-Inflated Counts via the EM Algorithm
by: AghahosseinaliShirazi, Zahra, et al.
Published: (2024)

Design of Bayesian Clinical Trials with Clustered Data
by: Hagar, Luke, et al.
Published: (2025)

Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis
by: Xian, Chengqian, et al.
Published: (2024)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)

Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
by: Toto, Giovanni, et al.
Published: (2026)

Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
by: Moore, Alan, et al.
Published: (2025)

Graph-based Change Point Detection for Functional Data
by: VanderDoes, Jeremy, et al.
Published: (2025)

REAMP: A Stochastic Resonance Approach for Multi-Change Point Detection in High-Dimensional Data
by: Shi, Xiaoping, et al.
Published: (2026)

Misclassification of Vaccination Status in Electronic Health Records: A Bayesian Approach in Cluster Randomized Trials
by: Kaplan, Adam, et al.
Published: (2024)

Bayesian Autoregressive Online Change-Point Detection with Time-Varying Parameters
by: Tsaknaki, Ioanna-Yvonni, et al.
Published: (2024)

A Change-Point Approach to Estimating the Proportion of False Null Hypotheses in Multiple Testing
by: Kostic, Anica, et al.
Published: (2023)

Bayesian Clustering Factor Models
by: Shin, Hwasoo, et al.
Published: (2025)

Uncertainty Quantification in Bayesian Clustering
by: Page, Garritt L., et al.
Published: (2025)

Bayesian Clustering Prior with Overlapping Indices for Effective Use of Multisource External Data
by: Lu, Xuetao, et al.
Published: (2024)

Change-Points Detection and Support Recovery for Spatially Indexed Functional Data
by: Song, Fengyi, et al.
Published: (2025)

Bayesian Rank-Clustering
by: Pearce, Michael, et al.
Published: (2024)

Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
by: Liu, Bin, et al.
Published: (2022)

Bayesian Dynamic Clustering Factor Models
by: Dolkar, Tsering, et al.
Published: (2025)

Predictor-Informed Bayesian Nonparametric Clustering
by: Parh, Md Yasin Ali, et al.
Published: (2025)

Change Point Inference for Non-Euclidean Data Sequences using Distance Profiles
by: Dubey, Paromita, et al.
Published: (2023)

Beyond Euclidean Summaries: Online Change Point Detection for Distribution-Valued Data
by: Zeng, Yingyan, et al.
Published: (2026)

A Bayesian Multivariate Spatial Point Pattern Model: Application to Oral Microbiome FISH Image Data
by: Lee, Kyu Ha, et al.
Published: (2025)

A Bayesian Approach to Unit-level Dependent Multi-type Survey Data
by: Kong, Zewei, et al.
Published: (2026)

On Robust Clustering of Temporal Point Process
by: Zhang, Yuecheng, et al.
Published: (2024)

Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)

Further Inference on Categorical Data -- A Bayesian Approach
by: Pal, Samyajoy, et al.
Published: (2020)

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)

Bayesian Clustering via Fusing of Localized Densities
by: Dombowsky, Alexander, et al.
Published: (2023)

Bayesian Hierarchical Emulators for Multi-Level Models: BayHEm
by: Kimpton, Louise, et al.
Published: (2025)

Causal Change Point Detection and Localization
by: Huang, Shimeng, et al.
Published: (2024)

NExON-Bayes: A Bayesian approach to network estimation informed by ordinal covariates
by: Feest, Joseph, et al.
Published: (2025)

A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference
by: Yan, Alex, et al.
Published: (2026)

Rank Intraclass Correlation for Clustered Data
by: Tu, Shengxin, et al.
Published: (2023)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)