Zero-inflated modeling. II: Zero-inflated models for complex data structures
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Publication:6602349
DOI10.1002/wics.1540zbMATH Open1544.62162MaRDI QIDQ6602349
Eric S. Roemmele, Derek S. Young, Xuan Shi
Publication date: 11 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
generalized linear mixed modelsBayesian hierarchical modelscount time seriesspatial modelingmultivariate countsdiagonal inflation
Cites Work
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- A flexible zero-inflated model to address data dispersion
- Semiparametric analysis of longitudinal zero-inflated count data
- A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment
- Zero-inflated Poisson and negative binomial integer-valued GARCH models
- Modelling count data with overdispersion and spatial effects
- Mixed effects models and extensions in ecology with R
- Poisson regression models with errors-in-variables: implication and treatment
- Type I multivariate zero-inflated Poisson distribution with applications
- GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries
- Type I multivariate zero-inflated generalized Poisson distribution with applications
- Markov regression models for count time series with excess zeros: a partial likelihood approach
- A bivariate zero-inflated negative binomial regression model for count data with excess zeros
- A joint mean-correlation modeling approach for longitudinal zero-inflated count data
- A sparse areal mixed model for multivariate outcomes, with an application to zero-inflated census data
- Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Negative Binomial Regression
- Dependence Modeling with Copulas
- Bayesian Spatial-Temporal Modeling of Ecological Zero-Inflated Count Data
- Marginal models for zero inflated clustered data
- Decision tree approaches for zero-inflated count data
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Model-Based Geostatistics
- Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
- A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use
- Modelling zero-inflated spatio-temporal processes
- State-space models for count time series with excess zeros
- GEE-based zero-inflated generalized Poisson model for clustered over or under-dispersed count data
- Hierarchical Bayesian Analysis of Correlated Zero-inflated Count Data
- Testing for zero-inflation in count series: application to occupational health
- Zero-inflated count time series models using Gaussian copula
- Semiparametric Analysis of Zero‐Inflated Count Data
- Tensor Regression with Applications in Neuroimaging Data Analysis
- Bivariate zero-inflated generalized Poisson regression model with flexible covariance
- Zero-inflated compound Poisson distributions in integer-valued GARCH models
- Copula-based Markov zero-inflated count time series models with application
- Longitudinal Data Analysis
- A robust Bayesian mixed effects approach for zero inflated and highly skewed longitudinal count data emanating from the zero inflated discrete Weibull distribution
- Two-stage model for time varying effects of zero-inflated count longitudinal covariates with applications in health behaviour research
- A spatial Poisson hurdle model for exploring geographic variation in emergency department visits
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