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Humboldt-Universität zu Berlin - Emmy Noether Research Group

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2020

Enhanced variable selection for distributional regression
Strömer, A, Weinhold, L, Staerk, C, Titze, S, Klein, N, and Mayr, A
In: Proceedings of the 35th International Workshop on Statistical Modelling, vol. 1, pp. 233–237.
Introducing non-stationarity to wrapped Gaussian spatial responses with an application to wind direction
Marques, I, Klein, N, and Kneib, T
In: Proceedings of the 35th International Workshop on Statistical Modelling, vol. 1, pp. 159–164.
Multivariate Conditional Transformation Models
Kneib, T, Klein, N, and Hothorn, T
In: Proceedings of the 35th International Workshop on Statistical Modelling, vol. 1, pp. 131–136.

2019

Density regression via penalised splines dependent Dirichlet process mixture of normal models
de Carvalho, V, Rodríguez-Álvarez, M, and Klein, N
In: Proceedings of the 34th International Workshop on Statistical Modelling, vol. 1, pp. 184–188.
Gaussian Process Responses in Distributional Regression
Riebl, H, Klein, N, and Kneib, T
In: Proceedings of the 34th International Workshop on Statistical Modelling, vol. 2, pp. 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
In: Proceedings of the 34th International Workshop on Statistical Modelling, vol. 1, pp. 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. 1, pp. 157–160.
Non-Stationary Spatial Regression for Modelling Monthly Precipitation in Germany
Marques, I, Klein, N, and Kneib, T
In: Proceedings of the 34th International Workshop on Statistical Modelling, vol. 2, pp. 195–199.

2018

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

2017

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

2014

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

2013

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