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Humboldt-Universität zu Berlin - Emmy Noether Research Group

Peer-Reviewed (Methodology)

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2021+

Assessment and adjustment of approximate inference algorithms using the law of total variance
Yu, X, Nott, DJ, Tran, M, and Klein, N
To appear in Journal of Computational and Graphical Statistics.
Correcting for Sample Selection Bias in Bayesian Distributional Regression Models Computational Statistics and Data Analysis
Wiemann, P, Klein, N, and Kneib, T
To appear in Computational Statistics & Data Analysis.
Deselection of Base-Learners for Statistical Boosting – with an Application to Distributional Regression
Strömer, A, Staerk, C, Klein, N, Weinhold, L, Titze, S, and Mayr, A
To appear in Statistical Methods in Medical Research.
In search of lost edges: A case study on reconstructing financial networks
Lebacher, M, Cook, S, Klein, N, and Kauermann, G
To appear in Journal of Network Theory in Finance.
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
Umlauf, N, Klein, N, Simon, T, and Zeileis, A
To appear in Journal of Statistical Software.

2021

Bayesian Effect Selection in Structured Additive Distributional Regression Models
Klein, N, Carlan, M, Kneib, T, Lang, S, and Wagner, H
Bayesian Analysis, 16(2):545–573.
Bayesian Inference for Regression Copulas
Smith, MS and Klein, N
Journal of Business and Economic Statistics, 39(3):712–728.
Bayesian Variable Selection for Non-Gaussian Responses: A Marginally-Calibrated Copula Approach
Klein, N and Smith, MS
Biometrics, 77(3):809–823.
Marginally Calibrated Deep Distributional Regression
Klein, N, Nott, DJ, and Smith, MS
Journal of Computational and Graphical Statistics, 30(2):467–483.
Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification
Hafermann, L, Becher, H, Herrmann, C, Klein, N, Heinze, G, and Rauch, G
BMC Medical Research Methodology, 21(1):1–12.

2020+

Multivariate Conditional Transformation Models
Klein, N, Hothorn, T, Barbanti, L, and Kneib, T
To appear in Scandinavian Journal of Statistics.

2020

Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios
Klein, N, Entwistle, A, Rosenberger, A, Kneib, T, and Bickeböller, H
Journal of Applied Statistics, 47(11):2066–2080.
Directional bivariate quantiles: A robust approach based on the cumulative distribution function
Klein, N and Kneib, T
AStA Advances in Statistical Analysis, 104(2):225–260.
Mixed discrete-continuous regression – A novel approach based on weight functions
Michaelis, P, Klein, N, and Kneib, T
Stat, 9(1):277–291.
Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales
Klein, N, Herwartz, H, and Kneib, T
Journal of Econometrics, 214(2):513–539.
Non-stationary spatial regression for modelling monthly precipitation in Germany
Marques, I, Klein, N, and Kneib, T
Spatial Statistics, 40:100386.

2019

Implicit Copulas from Bayesian Regularized Regression Smoothers
Klein, N and Smith, MS
Bayesian Analysis, 14(4):1143–1171.
Mixed binary-continuous copula regression models with application to adverse birth outcomes
Klein, N, Kneib, T, Marra, G, Radice, R, Rokicki, S, and McGovern, M
Statistics in Medicine, 38(3):413–436.
Modular regression – A Lego system for building structured additive distributional regression models with tensor product interactions
Kneib, T, Klein, N, Lang, S, and Umlauf, N
Test, 28(1):1–39.
Multivariate effect priors in bivariate semiparametric recursive Gaussian models
Thaden, H, Klein, N, and Kneib, T
Computational Statistics and Data Analysis, 137:51–66.
Rejoinder on: Modular regression – A Lego system for building structured additive distributional regression models with tensor product interactions
Kneib, T, Klein, N, Lang, S, and Umlauf, N
Test, 28(1):55–59.

2018

BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Umlauf, N, Klein, N, and Zeileis, A
Journal of Computational and Graphical Statistics, 27(3):612–627.
Bayesian Multivariate Distributional Regression With Skewed Responses and Skewed Random Effects
Michaelis, P, Klein, N, and Kneib, T
Journal of Computational and Graphical Statistics, 27(3):602–611.

2017

Boosting joint models for longitudinal and time-to-event data
Waldmann, E, Taylor-Robinson, D, Klein, N, Kneib, T, Pressler, T, Schmid, M, and Mayr, A
Biometrical Journal, 59(6):1104–1121.
Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels
Thaden, H, Pata, M, Klein, N, Cadarso-Suárez, C, and Kneib, T
Spatial Statistics, 22:419–433.
Structured additive distributional regression for analysing landings per unit effort in fisheries research
Mamouridis, V, Klein, N, Kneib, T, Cadarso Suárez, C, and Maynou, F
Mathematical Biosciences, 283:145–154.

2016

Analysing farmland rental rates using Bayesian geoadditive quantile regression
März, A, Klein, N, Kneib, T, and Musshoff, O
European Review of Agricultural Economics, 43(4):663–698.
Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models
Herwartz, H, Klein, N, and Strumann, C
Journal of Applied Econometrics, 31(6):1159–1182.
Scale-dependent priors for variance parameters in structured additive distributional regression
Klein, N and Kneib, T
Bayesian Analysis, 11(4):1071–1106.
Simultaneous inference in structured additive conditional copula regression models: A unifying Bayesian approach
Klein, N and Kneib, T
Statistics and Computing, 26(4):841–860.

2015

A Semiparametric Analysis of Conditional Income Distributions
Sohn, A, Klein, N, and Kneib, T
Schmollers Jahrbuch, 135:13–22.
Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data
Klein, N, Kneib, T, and Lang, S
Journal of the American Statistical Association, 110(509):405–419.
Bayesian Structured Additive Distributional Regression for Multivariate Responses
Klein, N, Kneib, T, Klasen, S, and Lang, S
Journal of the Royal Statistical Society. Series C: Applied Statistics, 64(4):569–591.
Bayesian structured additive distributional regression with an application to regional income inequality in Germany
Klein, N, Kneib, T, Lang, S, and Sohn, A
Annals of Applied Statistics, 9(2):1024–1052.

2014

Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape
Klein, N, Denuit, M, Lang, S, and Kneib, T
Insurance: Mathematics and Economics, 55(1):225–249.