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Humboldt-Universität zu Berlin - Emmy Noether Research Group

Proceedings

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2019

Density regression via penalised splines dependent Dirichlet process mixture of normal models
de Carvalho, V, Rodríguez-Álvarez, M, and Klein, N
Proceedings of the 34th International Workshop on Statistical Modelling, 1:184–188.
Gaussian Process Responses in Distributional Regression
Riebl, H, Klein, N, and Kneib, T
Proceedings of the 34th International Workshop on Statistical Modelling, 2:341–345.
Modular Regression – A Lego System for Building Structured Additive Distributional Regression Models with Tensor Product Interactions
Kneib, T, Klein, N, Umlauf, N, and Lang, S
Proceedings of the 34th International Workshop on Statistical Modelling, 1:214–219.
Neural Network Regression with an Application to Leukaemia Survival Data - An Unstructured Distributional Approach
Klein, N, Umlauf, N, and Simon, T
In: Proceedings of the 34th International Workshop on Statistical Modelling, vol. I(157-160).
Neural Network Regression with an Application to Leukaemia Survival Data - An Unstructured Distributional Approach
Klein, N, Umlauf, N, and Simon, T
Proceedings of the 34th International Workshop on Statistical Modelling, 1:157–160.
Non-Stationary Spatial Regression for Modelling Monthly Precipitation in Germany
Marques, I, Klein, N, and Kneib, T
Proceedings of the 34th International Workshop on Statistical Modelling, 2:195–199.

2018

Effect Selection in Distributional Regression
Klein, N, Carlan, M, Kneib, T, Lang, S, and Wagner, H
Proceedings of the 33th International Workshop on Statistical Modelling, 1:157–162.

2017

Bayesian Joint Modelling of Distributional Regression
Waldmann, E, Klein, N, and Taylor-Robinson, D
Proceedings of the 32th International Workshop on Statistical Modelling, 1:305–310.
Boosting distributional regression models formultivariate responses
Mayr, A, Thomas, J, Schmid, M, Faschingbauer, F, and Klein, N
Proceedings of the 32th International Workshop on Statistical Modelling, 1:97–102.

2014

Bivariate Gaussian Distributional Regression: An Application on Diabetes
Klein, N, Gude, F, Cadarso-Suárez, C, and Kneib, T
Proceedings of the 29th International Workshop on Statistical Modelling, 1:167–172.

2013

Bayesian Generalized Additive Models for Location, Scale and Shape for Insurance Data
Klein, N, Kneib, T, and Lang, S
Proceedings of the 28th International Workshop on Statistical Modelling, 2:645–650.