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Humboldt-Universität zu Berlin - Emmy Noether Research Group

Peer-Reviewed (Methodology)

This folder holds the following references to publications, sorted by year and author.

There are 26 references in this bibliography folder.

Klein, N and Kneib, T (2020+).
Directional bivariate quantiles: a robust approach based on the cumulative distribution function
AStA Advances in Statistical Analysis.

Klein, N, Entwistle, A, Rosenberger, A, Kneib, T, and Bickeböller, H (2020+).
Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios
Journal of Applied Statistics.

Marques, I, Klein, N, and Kneib, T (2020+).
Non-stationary spatial regression for modelling monthly precipitation in Germany
Spatial Statistics.

Michaelis, P, Klein, N, and Kneib, T (2020+).
Mixed Discrete-Continuous Regression – A Novel Approach Based on Weight Functions
Stat.

Smith, MS and Klein, N (2020+).
Bayesian Inference for Regression Copulas
Journal of Business and Economic Statistics.

Klein, N, Herwartz, H, and Kneib, T (2020).
Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales
Journal of Econometrics, 214(2):513–539.

Klein, N and Smith, MS (2019).
Implicit Copulas from Bayesian Regularized Regression Smoothers
Bayesian Analysis, 14(4):1143–1171.

Klein, N, Kneib, T, Marra, G, Radice, R, Rokicki, S, and McGovern, M (2019).
Mixed binary-continuous copula regression models with application to adverse birth outcomes
Statistics in Medicine, 38(3):413–436.

Kneib, T, Klein, N, Lang, S, and Umlauf, N (2019).
Rejoinder on: Modular regression - A Lego system for building structured additive distributional regression models with tensor product interactions
Test, 28(1):55–59.

Kneib, T, Klein, N, Lang, S, and Umlauf, N (2019).
Modular regression - A Lego system for building structured additive distributional regression models with tensor product interactions
Test, 28(1):1–39.

Thaden, H, Klein, N, and Kneib, T (2019).
Multivariate effect priors in bivariate semiparametric recursive Gaussian models
Computational Statistics and Data Analysis, 137:51–66.

Michaelis, P, Klein, N, and Kneib, T (2018).
Bayesian Multivariate Distributional Regression With Skewed Responses and Skewed Random Effects
Journal of Computational and Graphical Statistics, 27(3):602–611.

Umlauf, N, Klein, N, and Zeileis, A (2018).
BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Journal of Computational and Graphical Statistics, 27(3):612–627.

Mamouridis, V, Klein, N, Kneib, T, Cadarso Suárez, C, and Maynou, F (2017).
Structured additive distributional regression for analysing landings per unit effort in fisheries research
Mathematical Biosciences, 283:145–154.

Thaden, H, Pata, M, Klein, N, Cadarso-Suárez, C, and Kneib, T (2017).
Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels
Spatial Statistics, 22:419–433.

Waldmann, E, Taylor-Robinson, D, Klein, N, Kneib, T, Pressler, T, Schmid, M, and Mayr, A (2017).
Boosting joint models for longitudinal and time-to-event data
Biometrical Journal, 59(6):1104–1121.

Herwartz, H, Klein, N, and Strumann, C (2016).
Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models
Journal of Applied Econometrics, 31(6):1159–1182.

Klein, N and Kneib, T (2016).
Scale-dependent priors for variance parameters in structured additive distributional regression
Bayesian Analysis, 11(4):1071–1106.

Klein, N and Kneib, T (2016).
Simultaneous inference in structured additive conditional copula regression models: A unifying Bayesian approach
Statistics and Computing, 26(4):841–860.

März, A, Klein, N, Kneib, T, and Musshoff, O (2016).
Analysing farmland rental rates using Bayesian geoadditive quantile regression
European Review of Agricultural Economics, 43(4):663–698.

Klein, N, Kneib, T, and Lang, S (2015).
Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data
Journal of the American Statistical Association, 110(509):405–419.

Klein, N, Kneib, T, Klasen, S, and Lang, S (2015).
Bayesian Structured Additive Distributional Regression for Multivariate Responses
Journal of the Royal Statistical Society. Series C: Applied Statistics, 64(4):569–591.

Klein, N, Kneib, T, Lang, S, and Sohn, A (2015).
Bayesian structured additive distributional regression with an application to regional income inequality in Germany
Annals of Applied Statistics, 9(2):1024–1052.

Sohn, A, Klein, N, and Kneib, T (2015).
A Semiparametric Analysis of Conditional Income Distributions
Schmollers Jahrbuch, 135:13–22.

Klein, N, Denuit, M, Lang, S, and Kneib, T (2014).
Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape
Insurance: Mathematics and Economics, 55(1):225–249.

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