JSTOR Daily

A Hybrid Estimator in Nonlinear and Generalised Linear Mixed Effects Models

A hybrid method that combines Laplace's approximation and Monte Carlo simulations to evaluate integrals in the likelihood function is proposed for estimation of the parameters in nonlinear mixed ...
JSTOR Daily

Model Choice in Generalised Linear Models: A Bayesian Approach Via Kullback-Leibler Projections

We propose a general Bayesian method of comparing models. The approach is based on the Kullback-Leibler distance between two families of models, one nested within the other. For each parameter value ...
lse

Generalised Linear Modelling and Survival Analysis

This course is compulsory on the MSc in Statistics (Social Statistics) and MSc in Statistics (Social Statistics) (Research). This course is available on the MSc in Data Science, MSc in Health Data ...
Insurancenewsnet.com

New Machine Learning Study Findings Recently Were Reported by a Researcher at Birmingham City University (A Comparison of Generalised Linear Modelling with Machine Learning ...

2024 APR 17 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- A new study on artificial intelligence is now available. According to news originating from Birmingham, United ...
Nature

A unifying framework for robust association testing, estimation, and genetic model selection using the generalized linear model

Genome-wide association studies (GWAS) are widely used to uncover novel genetic susceptibility loci for complex genetic diseases. If the true genetic model is known, the association test reflecting ...