Ill-posed problems with counts, the composite link model and penalized likelihood

DOI10.1177/1471082X0700700302MaRDI QIDQ4970888

Paul H. C. Eilers

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

negative binomial distributionmixturesover-dispersionback-calculation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (9)

Flexible estimation in cure survival models using Bayesian P-splines ⋮ Nonparametric density estimation and risk quantification from tabulated sample moments ⋮ Smooth semiparametric and nonparametric Bayesian estimation of bivariate densities from bivariate histogram data ⋮ Sums of smooth exponentials to decompose complex series of counts ⋮ Semi-parametric frailty model for clustered interval-censored data ⋮ Bayesian density estimation from grouped continuous data ⋮ The randomized response log linear model as a composite link model ⋮ Modelling general patterns of digit preference ⋮ An age-at-death distribution approach to forecast cohort mortality

Uses Software

• KernSmooth
• Fahrmeir

Cites Work

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• A general approach to categorical data analysis with missing data, using generalized linear models with composite links
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Smoothing methods in statistics
• Smoothness priors analysis of time series
• Multilevel and latent variable modeling with composite links and exploded likelihoods
• Composite Link Functions in Generalized Linear Models
• The Analysis of Current Status Data on Point Processes
• Multivariate statistical modelling based on generalized linear models.

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