Reduced-rank vector generalized linear models with two linear predictors
From MaRDI portal
Publication:1621370
DOI10.1016/j.csda.2013.01.012zbMath1471.62228OpenAlexW1988706804MaRDI QIDQ1621370
Publication date: 8 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.01.012
overdispersionvariance functiongeneralized linear modelsreduced-rank regressionnegative binomial regressionzero-inflated Poisson
Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04) Generalized linear models (logistic models) (62J12)
Related Items
Special issue on statistical algorithms and software in R ⋮ A note on the posterior inference for the Yule–Simon distribution ⋮ The VGAM package for negative binomial regression ⋮ Row-column interaction models, with an R implementation
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust joint modeling of mean and dispersion through trimming
- Quasi-negative binomial distribution: properties and applications
- Multivariate reduced rank regression in non-Gaussian contexts, using copulas
- Reduced-rank regression for the multivariate linear model
- Functional forms for the negative binomial model for count data
- Negative Binomial Regression
- Statistical Analysis of Financial Data in S-Plus
- Estimating overdispersion when fitting a generalized linear model to sparse data
- Reduced-rank vector generalized linear models
- Applied Econometrics with R
- Negative binomial and mixed poisson regression
- Nested Reduced-Rank Autogressive Models for Multiple Time Series
- Reduced rank proportional hazards model for competing risks
- Generalized Additive Models for Location, Scale and Shape
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
