:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	AghahosseinaliShirazi, Zahra, Rangel, Pedro A., de Souza, Camila P. E.
Formato:	Preprint
Publicado:	2024
Materias:	Methodology Applications
Acceso en línea:	https://arxiv.org/abs/2406.00245
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

A Comparison of Zero-Inflated Models for Modern Biomedical Data
por: Beveridge, Max, et al.
Publicado: (2024)

Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
por: Hansen, Blake, et al.
Publicado: (2025)

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

Bayes Factor of Zero Inflated Models under Jeffereys Prior
por: Pramanik, Paramahansa, et al.
Publicado: (2024)

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

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

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

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

A Zero-Inflated Spatio-Temporal Model for Integrating Fishery-Dependent and Independent Data under Preferential Sampling
por: Silva, Daniela, et al.
Publicado: (2025)

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

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

A Zero-Inflated Beta Mixture Model for Marginal Mediation Analysis with Compositional Microbiome Mediators
por: Ahn, Seungjun, et al.
Publicado: (2026)

A Quasi-Regression Method for the Mediation Analysis of Zero-Inflated Single-Cell Data
por: Ahn, Seungjun, et al.
Publicado: (2026)

A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data
por: Ahn, Seungjun, et al.
Publicado: (2025)

Penalized Likelihood Methods for Modeling Count Data
por: Bui, Minh Thu, et al.
Publicado: (2021)

Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate
por: Tang, Shan, et al.
Publicado: (2024)

Multi-Dimensional Composite Endpoint Analysis via the Choquet Integral: Block Recurrent Encoding and Comparative Advantage Mapping
por: Tanboga, Ibrahim Halil
Publicado: (2026)

eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval
por: Chen, Xu, et al.
Publicado: (2026)

Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm
por: de Sousa, Farhad, et al.
Publicado: (2025)

An Empirical Method for Analyzing Count Data
por: Sun, Jiren, et al.
Publicado: (2026)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
por: Xu, Tianchen, et al.
Publicado: (2023)

Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
por: Ragni, Alessandra, et al.
Publicado: (2023)

Regression Modeling of the Count Relational Data with Exchangeable Dependencies
por: Du, Wenqin, et al.
Publicado: (2025)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
por: Florez, Mauro, et al.
Publicado: (2024)

Bayesian Rank-Clustering
por: Pearce, Michael, et al.
Publicado: (2024)

Similarity-based Random Partition Distribution for Clustering Functional Data
por: Wakayama, Tomoya, et al.
Publicado: (2023)

Clustering-based spatial interpolation of parametric post-processing models
por: Baran, Sándor, et al.
Publicado: (2024)

Bayesian Shrinkage in High-Dimensional VAR Models: A Comparative Study
por: Katz, Harrison, et al.
Publicado: (2025)

Refactor Analysis: Predictive Evaluations of Factor Models and Dimensionality
por: Hardy, Michael
Publicado: (2026)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
por: Dempsey, Daniel, et al.
Publicado: (2024)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
por: Cooper, Alysha, et al.
Publicado: (2025)

Scalable Spatiotemporal Modeling for Bicycle Count Prediction
por: Yadav, Rishikesh, et al.
Publicado: (2025)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
por: Yue, Kun, et al.
Publicado: (2024)

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

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

False Discovery Rate Control via Data Splitting for Testing-after-Clustering
por: Wang, Lijun, et al.
Publicado: (2024)

cardinalR: Generating Interesting High-Dimensional Data Structures
por: Gamage, Jayani P., et al.
Publicado: (2025)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
por: Lee, JoonHo
Publicado: (2026)