Cover Image

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chakraborty, Chitradipa, Das, Kiranmoy
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)

Bayesian Modeling of Long-Term Dynamics in Indian Temperature Extremes
by: Chakraborty, Chitradipa
Published: (2025)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)

Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
by: Ramezani, Niloofar, et al.
Published: (2026)

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)

Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
by: Baghfalaki, Taban, et al.
Published: (2025)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)

A Multivariate Multilevel Longitudinal Functional Model for Repeatedly Observed Human Movement Data
by: Gunning, Edward, et al.
Published: (2024)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

A Bayesian Framework for Multivariate Differential Analysis
by: Chion, Marie, et al.
Published: (2023)

Bayesian Hybrid Machine Learning of Gallstone Risk
by: Chakraborty, Chitradipa, et al.
Published: (2025)

Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

BLOG: Bayesian Longitudinal Omics with Group Constraints
by: Popa, Livia, et al.
Published: (2025)

A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
by: Wang, Zirui, et al.
Published: (2025)

Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)

Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
by: Sarkar, Bitan, et al.
Published: (2025)

A Zero-Inflated Poisson Latent Position Cluster Model
by: Lu, Chaoyi, et al.
Published: (2025)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
by: Peruzzi, Michele, et al.
Published: (2021)

Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
by: Zhu, Yu, et al.
Published: (2024)

Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
by: Sisti, Anthony, et al.
Published: (2025)

Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023)

A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
by: Huang, Xin-Wei, et al.
Published: (2025)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)

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

Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
by: Schumacher, Austin E, et al.
Published: (2025)

Zero-inflation in the Multivariate Poisson Lognormal Family
by: Batardière, Bastien, et al.
Published: (2024)

Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)

Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
by: Alkema, Leontine, et al.
Published: (2024)

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

Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
by: Pramanik, Sandipan, et al.
Published: (2025)

A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
by: Korley, J. T.
Published: (2026)

Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
by: Ren, Rui, et al.
Published: (2025)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)