Penalized quasi-likelihood with spatially correlated data

DOI10.1016/S0167-9473(02)00324-9zbMath1429.62425OpenAlexW2059158208MaRDI QIDQ956829

C. B. Dean, Ana F. Militino, Maria Dolores Ugarte

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00324-9

zbMATH Keywords

overdispersionmixed Poisson modelspatial autocorrelation

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Generalized linear models (logistic models) (62J12)

Related Items (6)

Penalized likelihood approach for simultaneous analysis of survival time and binary longitudinal outcome ⋮ Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends ⋮ Empirical Bayes and fully Bayes procedures to detect high-risk areas in disease mapping ⋮ On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling ⋮ Evaluating space‐time models for short‐term cancer mortality risk predictions in small areas ⋮ Modelling risks in disease mapping

Uses Software

• bootlib

Cites Work

• Detecting Interaction Between Random Region and Fixed Age Effects in Disease Mapping
• Accurate Approximations for Posterior Moments and Marginal Densities
• Negative binomial and mixed poisson regression
• Estimation in generalized linear models with random effects
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Consistent Estimators in Generalized Linear Mixed Models
• Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
• Approximate Inference in Generalized Linear Mixed Models
• Bias correction in generalised linear mixed models with a single component of dispersion
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