Tomohiro Ando, Ker-chau Li, A WEIGHT-RELAXED MODEL AVERAGING APPROACH FOR HIGH-DIMENSIONAL GENERALIZED LINEAR MODELS, The Annals of Statistics, Vol. 45, No. 6 (December 2017), pp. 2654-2679 ...

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of-fit analyses. Census tracts. Fire ...

Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

In many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two most common ...

Ordinary least squares linear regression models are frequently used to analyze and model spatial phenomena. These models are useful and easily interpreted, and the assumptions, strengths, and ...