Recent papers on new developments in the theory and methodology of generalized linear models and statistical modelling:
- Fast fitting of dispersed count models for number of yellow cards and ranking test match bowlers
- On arbitrarily underdispersed discrete distributions
- Discrete kernel density estimation
- Bayesian generalized linear model for under and over dispersed counts
- On profile and marginal likelihoods
- Regression models for dispersed counts (accompanying software)
- Vector regression and generalized estimating equations
- Orthogonality of parameters and asymptotic efficiency
- Nonparametric error distributions
- Generalized single-index models
- Density estimation and empirical likelihood
- Noninformative priors for covariance matrices
cross ✛ validated 