# Dr. Nadja Klein

- since 07/2016: Postdoctoral Feodor-Lynen-Fellow of the Alexander von Humboldt Foundation, Melbourne Business School, University of Melbourne
- 10/2015-07/2016: Postdoctoral Fellow of the Fonds Wetenschappelijk Onderzoek - Vlaanderen, Supervisor: Prof. Dr. Gerda Claeskens (unpaid leave)
- 2015: Postdoctoral researcher, Georg-August-Universität Göttingen
- 2012-2014: PhD project
*Bayesian Structured Additive Distributional Regression*(within the DFG Research Project "Structured Additive Quantile and Expectile Regression" (03/2012 - 02/2014) and the DFG Research Project "Structured Additive Distributional Regression" (since 03/2014), supervised by Prof. Dr. Thomas Kneib). Defense (Dr. rer. nat. in Mathematics): 03/12/2014 - 2012-2014: Member of the RTG 1644 "Scaling Problems in Statistics"
- 2013-2014: Mentee within the "Dorothea Schlözer Mentoring Programme 2013 / 2014"

- since 07/2016: Member of the Humboldt network (Alexander von Humboldt Foundation)
- 2015: Wolfgang-Wetzel-Price 2015 of the German Statistical Society for the paper Bayesian Generalized Additive Models for Location, Scale and Shape for Zero-Inflated and OverdispersedCount Data
- 2014: Award of the Georg-August-Universitaet Goettingen for outstanding dissertation Bayesian Structured Additive Distributional Regression
- 2014: Award of the Universitaetsbund Goettingen for the dissertation Bayesian Structured Additive Distributional Regression

### Prices and Awards:

- since 2018: Member of The German Statistical Society (DStatG)
- since 2018: American Statistical Association (ASA) Early Career Member
- since 2017: Member of The German Association of University Professors and Lecturers (DHV)
- since 2017: Member of the Bayesian Analysis and Modeling Research Group, University of Melbourne
- since 2015: Member of the Centre for Statistics, University of Goettingen
- 2012-2014: Member of the RTG 1644 "Scaling Problems in Statistics"

### Memberships:

- Bayesian Statistics
- Computational Methods
- Machine Learning
- Distributional Regression
- Smoothing Methods
- Copula Modelling
- Shrinkage Priors and Variable Selection

### Research Interests:

- Research visit (within the DAAD project "Extended Structured Additive Regression and its Applications"), Department of Biostatistics, University of Santiago de Compostela, Spain (06/2014)
- Research visit, Department of Statistics, University of Innsbruck, Austria (04/2013)
- Research visit, Department of Statistics, University of Innsbruck, Austria (01/2013)

### Research Stays:

- Helbich, M., Klein, N., Roberts, H., Hagedoorn, P., Groenewegen, P. (2018)

More green space is related to less antidepressant prescription rates in the Netherlands: A Bayesian geoadditive quantile regression approach.

*To appear in Environmental Research*. - Ríos-Pena, L., Kneib, T., Cadarso-Suarez, C., Klein, N. and Marey-Pérez, M. (2018)

Studying the Occurrence and Burnt Area of Wildfires using Zero-One-Inflated Structured Additive Beta Regression.

*To appear in Environmental Modelling and Software*. - Umlauf, N., Klein, N. and Zeileis, A. (2018)

BAMLSS: Bayesian Additive Models forLocation, Scale and Shape (and Beyond).

*To appear in Journal of Computational and Graphical Statistics*. - Michaelis, P., Klein, N. and Kneib, T. (2017)

Bayesian Multivariate Distributional Regression with Skewed Responses and Skewed Random Effects.

*To appear in Journal of Computational and Graphical Statistics*. - Duarte, E., de Sousa, B., Cadarso Suárez, C., Klein, N., Kneib, T. and Rodrigues, V. (2017)

Studying the relationship between a woman's reproductive life span and age at menarche using a Bayesian multivariate structured additive distributional regression model.*To appear in Biometrical Journal*. - Thaden, H., Pata, M. P., Klein, N., Cadarso Suarez, C. and Kneib, T. (2017)

Integrating Multivariate Conditionally Autoregressive Spatial Priors into Recursive Bivariate Models for Analyzing Environmental Sensitivity of Mussels.

*To appear in Spatial Statistics*. - Mamouridis, V., Klein, N., Kneib, T., Cadarso Suarez, C. and Maynou, F. (2016)

Structured Additive Distributional Regression for Analyzing Landings per Unit Effort Indices in Fisheries Research.

*To appear in Mathematical Biosciences*. - 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.

*To appear in Biometrical Journal*,**59**, 1104--1121. . - Klein, N. and Kneib, T. (2016)

Scale-Dependent Priors for Variance Parameters in Structured Additive Distributional Regression.

*Bayesian Analysis*,**11**, 1071-1106, doi:10.1214/15-BA983. - Kormann, U., Scherber, C., Tscharnke, T. Klein, N., Larbig, M, Valente, J., Hadley, A. and Betts, M. (2016)

Corridors Restore Animal-Mediated Pollination in Fragmented Tropical Forest Landscapes.

*Proceedings of the Royal Society B*,**283**, doi:10.1098/rspb.2015.2347. - 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**, 663-–698, doi:10.1093/erae/jbv028. - Klein, N. and Kneib, T. (2016)

Simultaneous Inference in Structured Additive Conditional Copula Regression Models: A Unifying Bayesian Approach.

*Statistics and Computing*,**26**, 841--860, doi:10.1007/s11222-015-9573-6. - 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**, 1024-1052. - 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*,**6**, 1159-1182, doi:10.1002/jae.2454. - Sohn, A., Klein, N. and Kneib, T. (2015)

A Semiparametric Analysis of Conditional Income Distributions.

*Schmollers Jahrbuch - Journal of Applied Science Studies*,**135**, 13-22, doi:10.3790/schm.135.1.13. - 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*,**64**, 569-591, doi:10.1111/rssc.12090. - 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**, 405-419, doi:10.1080/01621459.2014.912955. - 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**, 225-249. - Razen, A., Brunauer, W., Klein, N., Lang, S. and Umlauf, N. (2014)

Hedonic House Price Modeling based on Multilevel Structured Additive Regression,

to appear in*Computational Approaches for Urban Economics*, Springer Verlag. Edited by Helbich, M., Jokar, J. und Leitner, M.

### Peer-Reviewed Publications and Book Chapters:

- Klein, N., Gude, F., Cadarso-Suárez, C. and Kneib, T. (2014)

Bivariate Gaussian Distributional Regression: An Application on Diabetes,

in*'Proceedings of the 29th International Workshop on Statistical Modelling'*, T. Kneib, F. Sobotka, J.Fahrenholz, H. Irmer, eds. Vol. 1, pp. 167-172. - Klein, N., Kneib, T. and Lang, S. (2013)

Bayesian generalized additive models for location, scale

and shape for insurance data,

in*'Proceedings of the 29th International Workshop on Statistical Modelling'*, V. M. R. Muggeo, V. Capursi, G. Boscaino and G. Lovison, eds. Vol. 2, pp. 645-650.

### Other Publications:

- Mascarenhas, A., Marques, F., Silva, S., Gouveia, S., Alves, M., Virella, D., Papoila, A. L., Kneib, T., Klein, N. and Neto, M. T. (2017)

Determinants of the Variability of Oxygen Saturation during the First Minutes of Life of Term Neonates. - Klein, N., Malzahn, D., Rosenberger, A., Lozano-Kühne, J., Kneib, T. and Bickeböller, H. (2016)

Candidate gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios. - Klein, N. and Kneib, T. (2016)

New Notion of Bivariate Quantiles based on the Cumulative Distribution Function. - Oelker, M. R., Sobotka, F., Klein, N. and Kneib, T. (2014)

Semiparametric Mode Regression. - Klein, N., Kneib, T. and Lang, S. (2013)

Bayesian Structured Additive Distributional Regression.

### Submitted Papers:

Mixed Discrete-Continuous Regression - A Novel Approach Based on Weight Functions.

- BayesX - Bayesian Inference in Structured Additive Regression Models
- Contributions to the R-package BayesX: R Utilities Accompanying the Software Package BayesX.
- R-package BayesR.
- R-package sdPrior.
- R-package bivquant.

### Software:

- Guest Editor of Biometrical Journal (Special Issue 'Joint Modelling of Longitudinal and Time-To-Event Data and Beyond').
- Referee for: Annals of Applied Statistics, Biometrical Journal, Journal of the American Statistical Association, Scandinavian Journal of Statistics, Statistics, Statistics and Computing.

### Editorial Work & Refereeing Service:

- 07/2016–06/2018 Feodor-Lynen fellowship of the Alexander von Humboldt Stiftung (principle investigator: N. Klein; 2016-2018)
- 10/2017–03/2022 RTG 2300
*Enrichment of European beech forests with conifers: impacts of functional*(speaker: Christian Ammer; own role: principle investigator)

traits on ecosystem functioning

### Third Party Funding:

- Poster: The Implicit Copula of Bayesian Regularized Regression Smoothers at International Society for Bayesian Analysis World-Meeting (Edinburgh, 24/06/2018-29/06/2018)
- Talk: A Principled Prior for Variances in Distributional Regression at 9th Workshop on Spatio-Temporal Modelling (Montpellier, 13/06/2018-15/06/2018)
- Invited Talk at the Empirical Economics and Econometrics Seminar: A Novel Class of Semiparametric Distributional Models (University of Innsbruck, 21/05/2018-25/05/2018)
- Invited Talk (appointment for a tenured W2 professorship): The Implicit Copula of Bayesian Regularized Regression Smoothers (Munich, 12/04/2018-13/03/2018)
- Invited Talk:
**Scale-Dependent Priors for Variance Parameters in Hierarchichal Regression Models**at the Research Colloquium, The University of Sydney Business School (Sydney, 24/08/2017-26/08/2017) - Talk:
**Scale-Dependent Priors for Variance Parameters in Distributional Regression**at 11th Annual RCEA Bayesian Econometric Workshop (Melbourne, 03/07/2017-05/07/2017) - Invited Talk:
**Scale-Dependent Priors for Variance Parameters in Distributional Regression**at the Research Colloquium, RTG 1644 (Goettingen, 09/2016) - Poster:
**Scale-Dependent Priors for Variance Parameters in Distributional Regression**at International Society for Bayesian Analysis Worldmeeting (Sardinia, 13/07/2016-17/06/2016) - Invited Talk:
**On (Multivariate) Distributional Regression**at the Statistics and Econometrics Research Seminar (University of Bielefeld, 22/01/2015) - Poster:
**Scale-Dependent Priors for Variance Parameters in Distributional Regression**at Autumn meeting on Latent Gaussian Models 2015 (Trondheim, 17/09/2015-18/09/2015) - Talk:
**Scale-Dependent Priors for Variance Parameters in Distributional Regression**at 30th International Workshop on Statistical Modelling (Linz, 06/07/2015-10/07/2015) - Invited Talk:
**Bayesian Structured Additive Distributional Regression**at the Statistics Seminar (KU Leuven, 20/06/2015) - Invited Talk:
**Multivariate Distributional Regression**at the Statistics Research Seminar (University of Linz, 22/01/2015) - Talk:
**Simultaneous Inference in Structured Additive Conditional Copula Regression Models**at 7th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (Pisa, 06/12/2014-08/12/2014) - Talk:
**Bivariate Extensions of Structured Additive Distributional Regression based on Conditional Copula Models**at Österreichische Statistiktage (Innsbruck, 09/09/2014-12/09/2014) - Talk:
**Bivariate Gaussian Distributional Regression: An Application on Diabetes**at 29th International Workshop on Statistical Modelling (Göttingen, 14/07/2014-18/07/2014) - Invited Talk:
**Bivariate Gaussian Distributional Regression: An Application on Diabetes**at the Workshop: Young Researchers in Biostatistics (University of Santiago de Compostela, 11/06/2014) - Invited Talk:
**Bayesian Structured Additive Distributional Regression**at the Empirical Economics and Econometrics Seminar (University of Innsbruck, 04/12/2013) - Invited Talk:
**An Introduction to Bayesian Structured Additive Distributional Regression**at the Biostatistics Research Seminar (University of Santiago de Compostela, 29/10/2013) - Poster:
**Bayesian Generalised Additive Models for Location, Scale, and Shape applied to Insurance Data**at 28th International Workshop on Statistical Modelling (Palermo, 08/07/2013-12/07/2013) - Talk:
**Multivariate Gaussian Distributional Regression**at 19. DStatG Nachwuchsworkshop (Berlin, 16/09/2013-18/09/2013) - Talk:
**Bayesian Generalised Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data**at the 3rd joint Statistical Meeting DAGStat 2013 (Freiburg, 18/03/2013-21/03/2013) - Talk:
**Bayesian Generalised Additive Models for Location, Scale, and Shape for Zero-Inflated Count Data**at 5th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (Oviedo 01/12/2012-03/12/2012) - Talk:
**Spatial Smoothing in Zero-Inflated Count Data**at the Research Seminar "Spatial Regression Models" (Göttingen, 12/02/2013)

### Presentations:

- Graduate Seminar in Applied Statistics
- Vorkurs Mathematische Grundlagen der Angewandten Statistik

### Teaching:

#### Winter Term 2015/16

#### Summer Term 2015

Department of Conservation Biology, Doñana Biological Station, Seville

09/06/2015-11/06/2015

#### Winter Term 2014/15

PhD program Behaviour and Cognition, Georg-August-University Göttingen

02/03/2015-04/03/2015

Department of Statistics and Operations Research, University of Santiago de Compostela

23/02/2015-27/02/2015

#### Summer Term 2014

#### Winter Term 2013/14

#### Summer Term 2013

#### Winter Term 2012/13

#### Summer Term 2012

- Supervisor, PhD thesis of Isa Marques: Nonstationary spatial dependence structures (since October 2017)
- Co-supervisor, Master thesis of Stanislaus Stadlmann: bamlss.vis: An R Package to Interactively Analyze and Visualize Bayesian Additive Models for Location, Scale and Shape (BAMLSS) Using the Shiny Framework (2017)
- Co-supervisor, Master thesis of Hannes Riebl: Multivariate Quantile Residuals in Copula Regression: Model Evaluation and Selection (2017)
- Co-supervisor, Master thesis of Manuel Carlan: Bayesian Variable Selection (2016)
- Co-supervisor, Master thesis of Paul Wiemann: Statistische Analyse von Advice-Taking (2015)
- Co-supervisor, Master thesis of Manuel Vonrueti: Hyperparameterwahl bei Spike und Slab Prioris für Verteilungsregression (2015)
- Co-supervisor, Master thesis of Anastasia Gorbunova: Statistische Analyse von länderspezifischen Energieprofilen (2015)
- Local organising committee: 29th International Workshop on Statistical Modelling (2014)
- Co-supervisor, Bachelor thesis of Hannes Riebl: Power Law Verteilungen in Generalisierten Additiven Modellen für Lokation, Skala und Form (2014)
- Co-supervisor, Bachelor thesis of Philipp Hanheide: Messung der Armuts-Vulnerabilität (2013)

### Supervision and Volunteering: