:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	AghahosseinaliShirazi, Zahra, Rangel, Pedro A., de Souza, Camila P. E.
Format:	Preprint
Publié:	2024
Sujets:	Methodology Applications
Accès en ligne:	https://arxiv.org/abs/2406.00245
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Zero-Inflated Poisson Latent Position Cluster Model
par: Lu, Chaoyi, et autres
Publié: (2025)

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
par: Korsurat, Suppapat, et autres
Publié: (2025)

A Comparison of Zero-Inflated Models for Modern Biomedical Data
par: Beveridge, Max, et autres
Publié: (2024)

Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
par: Hansen, Blake, et autres
Publié: (2025)

A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
par: Wang, Zirui, et autres
Publié: (2025)

Bayes Factor of Zero Inflated Models under Jeffereys Prior
par: Pramanik, Paramahansa, et autres
Publié: (2024)

Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
par: Mukherjee, Anish, et autres
Publié: (2024)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
par: Erlandson, Brody, et autres
Publié: (2026)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
par: Bhuyan, Prajamitra, et autres
Publié: (2026)

Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
par: Baghfalaki, Taban, et autres
Publié: (2025)

A Zero-Inflated Spatio-Temporal Model for Integrating Fishery-Dependent and Independent Data under Preferential Sampling
par: Silva, Daniela, et autres
Publié: (2025)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
par: Huang, Hsin-Hsiung, et autres
Publié: (2026)

Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
par: Pramanik, Sandipan, et autres
Publié: (2025)

A Zero-Inflated Beta Mixture Model for Marginal Mediation Analysis with Compositional Microbiome Mediators
par: Ahn, Seungjun, et autres
Publié: (2026)

A Quasi-Regression Method for the Mediation Analysis of Zero-Inflated Single-Cell Data
par: Ahn, Seungjun, et autres
Publié: (2026)

A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data
par: Ahn, Seungjun, et autres
Publié: (2025)

Penalized Likelihood Methods for Modeling Count Data
par: Bui, Minh Thu, et autres
Publié: (2021)

Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate
par: Tang, Shan, et autres
Publié: (2024)

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

eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval
par: Chen, Xu, et autres
Publié: (2026)

Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm
par: de Sousa, Farhad, et autres
Publié: (2025)

An Empirical Method for Analyzing Count Data
par: Sun, Jiren, et autres
Publié: (2026)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
par: Xu, Tianchen, et autres
Publié: (2023)

Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
par: Ragni, Alessandra, et autres
Publié: (2023)

Regression Modeling of the Count Relational Data with Exchangeable Dependencies
par: Du, Wenqin, et autres
Publié: (2025)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
par: Florez, Mauro, et autres
Publié: (2024)

Bayesian Rank-Clustering
par: Pearce, Michael, et autres
Publié: (2024)

Similarity-based Random Partition Distribution for Clustering Functional Data
par: Wakayama, Tomoya, et autres
Publié: (2023)

Clustering-based spatial interpolation of parametric post-processing models
par: Baran, Sándor, et autres
Publié: (2024)

Bayesian Shrinkage in High-Dimensional VAR Models: A Comparative Study
par: Katz, Harrison, et autres
Publié: (2025)

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

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
par: Cooper, Alysha, et autres
Publié: (2025)

Scalable Spatiotemporal Modeling for Bicycle Count Prediction
par: Yadav, Rishikesh, et autres
Publié: (2025)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
par: Yue, Kun, et autres
Publié: (2024)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
par: Lee, Jooyeon, et autres
Publié: (2025)

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
par: Mukherjee, Nayana, et autres
Publié: (2026)

False Discovery Rate Control via Data Splitting for Testing-after-Clustering
par: Wang, Lijun, et autres
Publié: (2024)

cardinalR: Generating Interesting High-Dimensional Data Structures
par: Gamage, Jayani P., et autres
Publié: (2025)

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