Distributional regression for data analysis
N Klein - Annual Review of Statistics and Its Application, 2024 - annualreviews.org
Flexible modeling of how an entire distribution changes with covariates is an important yet
challenging generalization of mean-based regression that has seen growing interest over …
challenging generalization of mean-based regression that has seen growing interest over …
Rage against the mean–a review of distributional regression approaches
Distributional regression models that overcome the traditional focus on relating the
conditional mean of the response to explanatory variables and instead target either the …
conditional mean of the response to explanatory variables and instead target either the …
Smoothing parameter and model selection for general smooth models
This article discusses a general framework for smoothing parameter estimation for models
with regular likelihoods constructed in terms of unknown smooth functions of covariates …
with regular likelihoods constructed in terms of unknown smooth functions of covariates …
[BOOK][B] Flexible regression and smoothing: using GAMLSS in R
This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …
Inference and computation with generalized additive models and their extensions
SN Wood - Test, 2020 - Springer
Regression models in which a response variable is related to smooth functions of some
predictor variables are popular as a result of their appealing balance between flexibility and …
predictor variables are popular as a result of their appealing balance between flexibility and …
A review of predictive uncertainty estimation with machine learning
Predictions and forecasts of machine learning models should take the form of probability
distributions, aiming to increase the quantity of information communicated to end users …
distributions, aiming to increase the quantity of information communicated to end users …
Bayesian structured additive distributional regression with an application to regional income inequality in Germany
Bayesian structured additive distributional regression with an application to regional income
inequality in Germany Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 2, 1024–1052 …
inequality in Germany Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 2, 1024–1052 …
BAMLSS: Bayesian additive models for location, scale, and shape (and beyond)
Bayesian analysis provides a convenient setting for the estimation of complex generalized
additive regression models (GAMs). Since computational power has tremendously …
additive regression models (GAMs). Since computational power has tremendously …
[BOOK][B] Regressionsmodelle
Alle im vorigen Kapitel beschriebenen Problemstellungen besitzen eine wesentliche
Gemeinsamkeit: Eigenschaften einer Zielvariablen y sollen in Abhängigkeit von Kovariablen …
Gemeinsamkeit: Eigenschaften einer Zielvariablen y sollen in Abhängigkeit von Kovariablen …
Bivariate copula additive models for location, scale and shape
In generalized additive models for location, scale and shape (GAMLSS), the response
distribution is not restricted to belong to the exponential family and all the model's …
distribution is not restricted to belong to the exponential family and all the model's …