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Everything about Vector generalized linear model
Concept in statistics
In statistics, the class of vector generalized linear models (VGLMs) was proposed to enlarge the scope of models catered for by generalized linear models (GLMs). In particular, VGLMs allow for response variables outside the classical exponential family and for more than one parameter. Each parameter can be transformed by a link function. The VGLM framework is also large enough to naturally accommodate multiple responses; these are several independent responses each coming from a particular statistical distribution with possibly different parameter values. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Vector generalized linear modelA 5-minute orientation
- Pick up a classic book: Economic-mathematical methods and models under uncertaintyThe most-reprinted book on the subject
- Read the landmark paper: Reduced-rank vector generalized linear modelsCited 122 times
- Go sideways: Generalized functional linear modelA closely related topic
- Go sideways: Generalized additive model for location, scale and shapeA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Reduced-rank vector generalized linear models
Vector generalized linear and additive extreme value models
Reduced-rank vector generalized linear models with two linear predictors
Modeling dengue vector population with earth observation data and a generalized linear model
Reduced rank vector generalized linear models for feature extraction
Taylor’s power law and reduced-rank vector generalized linear models
đź“š Books worth reading
- 📕Economic-mathematical methods and models under uncertaintyAzad Aliyev · 2013
Optimization of Objective FunctionsNinul Anatoly Sergeevich · 2009
Entropy and the quantum IIArizona School of Analysis with Applications (2nd 2010 University of Arizona) · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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