This is not the same as the generalized linear model dispersion , but it is an additional distribution parameter that must be estimated or set to a fixed value.

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

This is the GEE equivalent of the inverse of the Fisher information matrix that is often used in generalized linear models as an estimator of ... estimator of the covariance matrix of if the mean ...

In this paper, I show that this debate can be resolved by constructing a general version of Hamilton’s rule, which allows for a large variety of ways in which the fitness of an individual can depend ...

This course is compulsory on the MSc in Statistics (Social Statistics) and MSc in Statistics (Social Statistics) (Research). This course is available on the MPhil/PhD in Statistics, MSc in Data ...

Individuals with generalized anxiety disorder (GAD ... baseline variables through two machine learning models: a linear ...

Finally, the coefficients of the linear differential operator of the constitutive ... Nguyen ST, Vu MH, Vu MN, et al. Generalized Maxwell model for micro-cracked viscoelastic materials. Int J Damage ...