News Statistics 06/09/2025 New paper in Computational Statistics & Data Analysis Nicolas Frink and Timo Schmid apply generalized tree-based machine learning to analyze educational count data. 05/08/2025 New paper in Journal of the Royal Statistical Society Series C Nora Würz, Timo Schmid and co-authors use random forests under access to limited auxiliary information. 01/22/2025 Member of the JRSSC Editorial Board Timo Schmid has been appointed an Associate Editor for the Journal of the Royal Statistical Society: Series C. 12/12/2024 New paper in Journal of Official Statistics Timo Schmid and colleagues estimate poverty in West African countries with grid-level geospatial data. 03/25/2024 New paper in Journal of Official Statistics Marina Runge and Timo Schmid investigate small area estimation with multiply imputed survey data. 12/11/2023 New Article in R Journal Sylvia Harmening, Timo Schmid, and colleagues publish software for the application of aggregated small area methods. 10/12/2023 New paper in AStA Wirtschafts- und Sozialstatistisches Archiv Yeonjoo Lee and co-authors analyzed academic success in master programs based on survey data and administrative examination records. 02/07/2023 New paper in Statistics and Computing Yeonjoo Lee, Timo Schmid and co-authors propose an approach to select the optimal model and the optimal transformation simultaneously. 01/10/2023 New Paper in Psychometrika Christian Aßmann, Jean-Christoph Gaasch and Doris Stingl develop a Bayesian estimation procedure for multilevel latent regression models, taking into… 11/03/2022 New paper in Journal of the Royal Statistical Society Series C Patrick Krennmair und Timo Schmid use random forests as versatile tools for estimating spatially disaggregated indicators. 10/10/2022 Welcome, Mrs. Johanna Wetzhausen und Mrs. Greta Jeleazcov! New student employees at the Chair of Statistics and Econometrics 10/10/2022 Welcome, Mrs. Nora Würz! New scientific employee at the Chair of Statistics and Econometrics 09/26/2022 New paper in Journal of the Royal Statistical Society Series A Nora Würz, Timo Schmid and co-authors estimate regional indicators under access to limited auxiliary information. 09/02/2022 New paper in AStA Advances in Statistical Analysis Angelina Hammon develops method to multiply impute ordered missing data that are Missing not at random 06/24/2022 New paper in Journal of Official Statistics Timo Schmid and co-authors estimate poverty and inequality indicators from grouped income variables. 04/14/2022 New paper in Journal of Official Statistics Timo Schmid and co-authors investigate regional consumer price inflation in UK. 03/22/2022 New paper in Journal of the Royal Statistical Society Series A Timo Schmid and co-authors investigate satellite imagery-based population estimates. 01/24/2022 New paper in AStA Wirtschafts- und Sozialstatistisches Archiv Timo Schmid and co-authors investigate the visualisation of voting results based on kernel density smoothing. 10/15/2021 Welcome, Mr. Paul Messer! New scientific employee at the Chair of Statistics and Econometrics 08/20/2021 New article in the Journal of the Royal Statistical Society Series A Timo Schmid and colleagues investigate the estimation of poverty and inequality indicators based on classified income data 08/19/2021 Welcome, Mr. Miguel Angel Cordero Alba! New scientific employee at the Chair of Statistics and Econometrics Newsdata
06/09/2025 New paper in Computational Statistics & Data Analysis Nicolas Frink and Timo Schmid apply generalized tree-based machine learning to analyze educational count data.
05/08/2025 New paper in Journal of the Royal Statistical Society Series C Nora Würz, Timo Schmid and co-authors use random forests under access to limited auxiliary information.
01/22/2025 Member of the JRSSC Editorial Board Timo Schmid has been appointed an Associate Editor for the Journal of the Royal Statistical Society: Series C.
12/12/2024 New paper in Journal of Official Statistics Timo Schmid and colleagues estimate poverty in West African countries with grid-level geospatial data.
03/25/2024 New paper in Journal of Official Statistics Marina Runge and Timo Schmid investigate small area estimation with multiply imputed survey data.
12/11/2023 New Article in R Journal Sylvia Harmening, Timo Schmid, and colleagues publish software for the application of aggregated small area methods.
10/12/2023 New paper in AStA Wirtschafts- und Sozialstatistisches Archiv Yeonjoo Lee and co-authors analyzed academic success in master programs based on survey data and administrative examination records.
02/07/2023 New paper in Statistics and Computing Yeonjoo Lee, Timo Schmid and co-authors propose an approach to select the optimal model and the optimal transformation simultaneously.
01/10/2023 New Paper in Psychometrika Christian Aßmann, Jean-Christoph Gaasch and Doris Stingl develop a Bayesian estimation procedure for multilevel latent regression models, taking into…
11/03/2022 New paper in Journal of the Royal Statistical Society Series C Patrick Krennmair und Timo Schmid use random forests as versatile tools for estimating spatially disaggregated indicators.
10/10/2022 Welcome, Mrs. Johanna Wetzhausen und Mrs. Greta Jeleazcov! New student employees at the Chair of Statistics and Econometrics
10/10/2022 Welcome, Mrs. Nora Würz! New scientific employee at the Chair of Statistics and Econometrics
09/26/2022 New paper in Journal of the Royal Statistical Society Series A Nora Würz, Timo Schmid and co-authors estimate regional indicators under access to limited auxiliary information.
09/02/2022 New paper in AStA Advances in Statistical Analysis Angelina Hammon develops method to multiply impute ordered missing data that are Missing not at random
06/24/2022 New paper in Journal of Official Statistics Timo Schmid and co-authors estimate poverty and inequality indicators from grouped income variables.
04/14/2022 New paper in Journal of Official Statistics Timo Schmid and co-authors investigate regional consumer price inflation in UK.
03/22/2022 New paper in Journal of the Royal Statistical Society Series A Timo Schmid and co-authors investigate satellite imagery-based population estimates.
01/24/2022 New paper in AStA Wirtschafts- und Sozialstatistisches Archiv Timo Schmid and co-authors investigate the visualisation of voting results based on kernel density smoothing.
10/15/2021 Welcome, Mr. Paul Messer! New scientific employee at the Chair of Statistics and Econometrics
08/20/2021 New article in the Journal of the Royal Statistical Society Series A Timo Schmid and colleagues investigate the estimation of poverty and inequality indicators based on classified income data
08/19/2021 Welcome, Mr. Miguel Angel Cordero Alba! New scientific employee at the Chair of Statistics and Econometrics
