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Generalized additive model for location, scale and shape

Known as: GAMLSS, Generalized Additive Model Location, Scale and Shape (GAMLSS), Generalized additive model for location, scale, and shape 
The Generalized Additive Model for Location, Scale and Shape (GAMLSS) is about statistical modelling and learning. GAMLSS is a modern distribution… 
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Papers overview

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2020
2020
We extend generalized additive models for location, scale and shape (GAMLSS) to regression with functional response. This allows… 
2016
2016
This study aims to model the nonlinear relationship between the daily amount of extreme rainfall and significant predictor… 
2015
2015
This paper presents the design of optimal Bonus-Malus Systems (BMS) using generalized additive models for location, scale and… 
2015
2015
Financial exchanges provide incentives for limit order book (LOB) liquidity provision to certain market participants, termed… 
2014
2014
The Basel II framework strictly defines the conditions under which financial institutions are authorized to accept real estate as… 
2012
2012
Generalized additive models for location, scale, and shape (GAMLSS) are a class of semi-parametric models with potential… 
2012
2012
It is very important to study the trends of the inconsistent hydrological series under the changing environments.The conventional… 
2011
2011
This paper documents the application of the Sichel (SI) generalized additive models for location, scale and shape (GAMLSS) for… 
Highly Cited
2005
Highly Cited
2005
Summary.  A general class of statistical models for a univariate response variable is presented which we call the generalized…