News
- New working paper "Variational Inference and Sparsity in High-Dimensional Deep Gaussian Mixture Models"
- New working paper "Bivariate Analysis of Birth Weight and Gestational Age Depending on Environmental Exposures: Bayesian Distributional Regression with Copulas"
- Paper "bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)" accepted for publication
- New working paper "Semi-Structured Deep Distributional Regression: Combining Structured Additive Models and Deep Learning"
- New working paper "deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression"
- Prof. Dr. Nadja Klein becomes member of editorial advisory board of Journal Dependence Modeling
- New book "Zukunftsorientiertes Controlling" published by Lucas Kock
- New paper "Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol" published.
- Paper "In search of lost edges: a case study on reconstructing financial networks" accepted for publication
- New working paper "Bayesian Conditional Transformation Models"
- Paper "Multivariate Conditional Transformation Models" accepted for publication
- New working paper "Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices"
- New R package "tram: Transformation Models" available on CRAN
- Nicolai Hans has started as a new team member in our Emmy Noether Research Group and will be supervised by Nadja Klein and Andreas Mayr
- Paper "Bayesian variable selection for non‐Gaussian responses: A marginally‐calibrated copula approach" accepted for publication
- Paper "Marginally-calibrated deep distributional regression" accepted for publication
- Open position as postdoctoral researcher with Prof. Dr. Nadja Klein in Statistical and Machine Learning
- Prof. Dr. Nadja Klein becomes member of the Junge Akademie
- Alexandra Barbu starts as a new team member in our Emmy Noether Research group and will be supervised by Prof. Dr. Nadja Klein
- Paper "Bayesian Effect Selection in Structured Additive Distributional Regression Models" accepted for publication
- New paper "Mixed discrete‐continuous regression—A novel approach based on weight functions" published
- New paper "Directional bivariate quantiles: a robust approach based on the cumulative distribution function" published
- New paper "Cold War spy satellite images reveal long-term declines of a philopatric keystone species in response to cropland expansion" published
- Open position as doctoral research fellow
- New working paper "Specification Testing in Functional Quantile Regression Models with an Application to Income Differences in Germany" by T. Kutzker, N. Klein and D. Wied
- New working paper "A Unifying Network Architecture for Semi-Structured Deep Distributional Learning"
- New paper " Mixed Discrete-Continuous Regression – A Novel Approach Based on Weight Functions" accepted for publication in "Stat"
- New paper "Bayesian Inference for Regression Copulas" accepted for publication in "Journal of Business & Economic Statistics"
- Prof. Dr. Klein becomes associate editor of the journal "Advances in Statistical Analysis"
- Paper "Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios" published
- Paper by Espasandin Dominguez, Cadarso-Suárez, Kneib, Klein, Radice, Lado-Baleato and Gude accepted
- Paper "Modelling Regional Patterns of Inefficiency" by Klein, Herwartz and Kneib accepted for publication in Journal of Econometrics
- Nadja Klein becomes Associate Editor of Journal of Agricultural, Biological and Environmental Statistics (JABES)
- Prof. Dr. Nadja Klein, receives funding from DFG’s Emmy Noether Programme