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  • Search: subject:"Generalized additive models for location, scale and shape"
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Year of publication
Subject
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Distributional regression 3 Markov chain Monte Carlo simulations 2 generalized additive models for location scale and shape 2 semiparametric regression 2 tutorial 2 Bayes-Statistik 1 Bayesian inference 1 Causality 1 Generalized additive models for location, scale and shape 1 Instrumental variable 1 Markov chain 1 Markov-Kette 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Regression analysis 1 Regressionsanalyse 1 Simulation 1 Statistical distribution 1 Statistische Verteilung 1 Theorie 1 Theory 1 Treatment effects 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3
Author
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Kneib, Thomas 3 Umlauf, Nikolaus 2 Briseño Sanchez, Guillermo 1 Groll, Andreas 1 Hohberg, Maike 1
Published in...
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Journal of the Royal Statistical Society: Series A (Statistics in Society) 1 Working Papers in Economics and Statistics 1 Working papers in economics and statistics 1
Source
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EconStor 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Flexible instrumental variable distributional regression
Briseño Sanchez, Guillermo; Hohberg, Maike; Groll, Andreas - In: Journal of the Royal Statistical Society: Series A … 183 (2020) 4, pp. 1553-1574
generalized additive models for location, scale and shape. This enables modelling all distributional parameters of potentially … effects are statistically significant, the application demonstrates the potentials of using generalized additive models for … location, scale and shape in instrumental variable regression for both to account for endogeneity and to estimate treatment …
Persistent link: https://www.econbiz.de/10012428801
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A primer on Bayesian distributional regression
Kneib, Thomas; Umlauf, Nikolaus - 2017
Bayesian methods have become increasingly popular in the past two decades. With the constant rise of computational power even very complex models can be estimated on virtually any modern computer. Moreover, interest has shifted from conditional mean models to probabilistic distributional models...
Persistent link: https://www.econbiz.de/10011869134
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Cover Image
A primer on Bayesian distributional regression
Kneib, Thomas; Umlauf, Nikolaus - 2017
Bayesian methods have become increasingly popular in the past two decades. With the constant rise of computational power even very complex models can be estimated on virtually any modern computer. Moreover, interest has shifted from conditional mean models to probabilistic distributional models...
Persistent link: https://www.econbiz.de/10011699413
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