Keywords

#generalized_additive_model_for_location,_scale_and_shape

Generalized additive model for location, scale and shape

The Generalized Additive Model for Location, Scale and Shape (GAMLSS) is an approach to statistical modelling and learning. GAMLSS is a modern distribution-based approach to (semiparametric) regression. A parametric distribution is assumed for the response (target) variable but the parameters of this distribution can vary according to explanatory variables using linear, nonlinear or smooth functions. In machine learning parlance, GAMLSS is a form of supervised machine learning.

Sat 25th

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Generalized additive model Generalized additive model for location, scale and shape Additive model Generalized linear model List of statistics articles Logistic regression Analysis of variance Level of measurement Vector generalized linear model Proportional hazards model
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