Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Humboldt-Universität zu Berlin - Emmy Noether Research Group

Working Papers

Show by author:


A Unifying Network Architecture for Semi-Structured Deep Distributional Learning
Rügamer, D, Kolb, C, and Klein, N
Specification Testing in Functional Quantile Regression Models with an Application to Income Differences in Germany
Kutzker, T, Klein, N, and Wied, D


Assessment and adjustment of approximate inference algorithms using the law of total variance
Yu, X, Nott, DJ, Tran, M, and Klein, N
Bayesian Variable Selection for Non-Gaussian Responses: A Marginally Calibrated Copula Approach
Klein, N and Smith, MS
In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
Lebacher, M, Cook, S, Klein, N, and Kauermann, G
arXiv preprint arXiv:1909.01274.
Marginally-calibrated deep distributional regression
Klein, N, Nott, DJ, and Smith, MS
Multivariate Conditional Transformation Models
Klein, N, Hothorn, T, and Kneib, T
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
Umlauf, N, Klein, N, Simon, T, and Zeileis, A
arXiv preprint arXiv:1909.11784.