Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia

Related topics

Related topics

4 relations
Count dataGeneralized additive modelGeneralized linear modelR language

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Boosting functional response models for location, scale and shape with an application to bacterial competition
We extend generalized additive models for location, scale and shape (GAMLSS) to regression with functional response. This allows… 
2019
2019
LASSO-type penalization in the framework of generalized additive models for location, scale and shape
2016
2016
MODELLING EXTREME RAINFALLS USING GENERALIZED ADDITIVE MODELS FOR LOCATION, SCALE AND SHAPE PARAMETERS
This study aims to model the nonlinear relationship between the daily amount of extreme rainfall and significant predictor… 
2015
2015
Optimal Bonus-Malus Systems Using Generalized Additive Models for Location, Scale and Shape
This paper presents the design of optimal Bonus-Malus Systems (BMS) using generalized additive models for location, scale and… 
2015
2015
Designating Market Maker Behaviour in Limit Order Book Markets
Financial exchanges provide incentives for limit order book (LOB) liquidity provision to certain market participants, termed… 
2014
2014
Statistical Risk Analysis for Real Estate Collateral Valuation using Bayesian Distributional and Quantile Regression
The Basel II framework strictly defines the conditions under which financial institutions are authorized to accept real estate as… 
2012
2012
Are generalized additive models for location, scale, and shape an improvement on existing models for estimating skewed and heteroskedastic cost data?
Generalized additive models for location, scale, and shape (GAMLSS) are a class of semi-parametric models with potential… 
2012
2012
Trend Analysis for the Annual Discharge Series of the Yangtze River at the Yichang Hydrological Station Based on GAMLSS
It is very important to study the trends of the inconsistent hydrological series under the changing environments.The conventional… 
2011
2011
Analyzing Highly Dispersed Crash Data Using the Sichel Generalized Additive Models for Location , Scale and Shape
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
Generalized additive models for location, scale and shape
Summary.  A general class of statistical models for a univariate response variable is presented which we call the generalized… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License