Humboldt-Universität zu Berlin | School of Business and Economics | Emmy Noether Research Group | News News Paper "Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices" accepted for publication Prof. Nadja Klein was nominated for AcademiaNet Application deadline extended: Open position as a student assistent at the Chair of Statistics and Data Science Paper "Variational Inference and Sparsity in High-Dimensional Deep Gaussian Mixture Models" accepted for publication Paper "Using background knowledge from preceding studies for building a random forest prediction model: A plasmode simulation study" accepted for publication Extended: Open position as a student assistent at the Chair of Statistics and Data Science Paper "Is age at menopause decreasing? - The consequences of not completing the generational cohort" accepted for publication New working paper "Incorporating Actor Heterogeneity into Large Network Models through Variational Approximations" Paper "Mitigating Spatial Confounding by Explicitly Correlating Gaussian Random Fields" accepted for publication Open position as a student assistent at the Chair of Statistics and Data Science New working paper "Boosting Distributional Copula Regression" Prof. Dr. Nadja Klein was awarded the Gustav-Adolf-Lienert-Preis 2022 Open PhD position in a HEIBRiDS project Paper "Review of guidance papers on regression modeling in statistical series of medical journals" by Paul Bach, Nadja Klein et al accepted for publication Contribution for oral presentation by Jana Kleinemeier and Prof. Dr. Nadja Klein accepted for Young Statisticians Session at DAGStat 2022 Prof. Dr. Nadja Klein was accepted for the Leadership Programme for Female Professors 2022 Prof. Dr. Nadja Klein becomes liaison professor of the German Academic Scholarship Foundation Prof. Dr. Nadja Klein becomes member of the International Biometric Society (IBS) Nadja Klein becomes speaker of the Research Group "Artificial Intelligence" (Junge Akademie) Paper "Correcting for Sample Selection Bias in Bayesian Distributional Regression Models Computational Statistics and Data Analysis" by Nadja Klein, Paul Wiemann, and Thomas Kneib accepted for publication 1 2 3 4 Next 20 items
Paper "Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices" accepted for publication
Application deadline extended: Open position as a student assistent at the Chair of Statistics and Data Science
Paper "Variational Inference and Sparsity in High-Dimensional Deep Gaussian Mixture Models" accepted for publication
Paper "Using background knowledge from preceding studies for building a random forest prediction model: A plasmode simulation study" accepted for publication
Paper "Is age at menopause decreasing? - The consequences of not completing the generational cohort" accepted for publication
New working paper "Incorporating Actor Heterogeneity into Large Network Models through Variational Approximations"
Paper "Mitigating Spatial Confounding by Explicitly Correlating Gaussian Random Fields" accepted for publication
Paper "Review of guidance papers on regression modeling in statistical series of medical journals" by Paul Bach, Nadja Klein et al accepted for publication
Contribution for oral presentation by Jana Kleinemeier and Prof. Dr. Nadja Klein accepted for Young Statisticians Session at DAGStat 2022
Paper "Correcting for Sample Selection Bias in Bayesian Distributional Regression Models Computational Statistics and Data Analysis" by Nadja Klein, Paul Wiemann, and Thomas Kneib accepted for publication