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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… Expand
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Papers overview

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2019
2019
For numerous applications it is of interest to provide full probabilistic forecasts, which are able to assign probabilities to… Expand
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2018
2018
We extend Generalized Additive Models for Location, Scale, and Shape (GAMLSS) to regression with functional response. This allows… Expand
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2017
2017
Rigby & Stasinopoulos (2005) introduced generalized additive models for location, scale and shape (GAMLSS) where the response… Expand
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2016
2016
This study aims to model the nonlinear relationship between the daily amount of extreme rainfall and significant predictor… Expand
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2015
2015
This paper presents the design of optimal Bonus-Malus Systems (BMS) using generalized additive models for location, scale and… Expand
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2015
2015
Statistical modeling of costs associated with medical and hospital procedures is a very complex task, being common to find… Expand
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2013
2013
In our surrounding acoustic world sounds are produced by different sources and interfere with each other before arriving to the… Expand
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2012
2012
It is very important to study the trends of the inconsistent hydrological series under the changing environments.The conventional… Expand
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2011
2011
This paper documents the application of the Sichel (SI) generalized additive models for location, scale and shape (GAMLSS) for… Expand
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Highly Cited
2005
Highly Cited
2005
A general class of statistical models for a univariate response variable is presented which we call the generalized additive… Expand
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