| Simplified vine copula models: Approximations based on the simplifying assumption F Spanhel, MS Kurz | 47* | 2019 |
| Testing the simplifying assumption in high-dimensional vine copulas MS Kurz, F Spanhel Electronic Journal of Statistics 16 (2), 5226-5276, 2022 | 25* | 2022 |
| Distributed Double Machine Learning with a Serverless Architecture MS Kurz Companion of the ACM/SPEC International Conference on Performance …, 2021 | 15 | 2021 |
| The partial copula: Properties and associated dependence measures F Spanhel, MS Kurz Statistics & Probability Letters 119, 76-83, 2016 | 15 | 2016 |
| DoubleML - An Object-Oriented Implementation of Double Machine Learning in R P Bach, V Chernozhukov, MS Kurz, M Spindler arXiv preprint arXiv:2103.09603, 2021 | 12 | 2021 |
| DoubleML-An Object-Oriented Implementation of Double Machine Learning in Python. P Bach, V Chernozhukov, MS Kurz, M Spindler J. Mach. Learn. Res. 23, 53:1-53:6, 2022 | 11 | 2022 |
| VineCopulaMatlab toolbox M Kurz URL https://github. com/MalteKurz/VineCopulaMatlab, 2016 | 11* | 2016 |
| pacotest: Testing for Partial Copulas and the Simplifying Assumption in Vine Copulas MS Kurz R package version, 2017 | 7 | 2017 |
| A note on low-dimensional Kalman smoothers for systems with lagged states in the measurement equation MS Kurz Economics Letters 168, 42-45, 2018 | 4 | 2018 |
| DoubleML-Double Machine Learning in Python P Bach, V Chernozhukov, MS Kurz, M Spindler URL: https://github. com/DoubleML/doubleml-for-py, Python-Package version 0.1, 2020 | 2 | 2020 |
| Vine copula based knockoff generation for high-dimensional controlled variable selection MS Kurz arXiv preprint arXiv:2210.11196, 2022 | | 2022 |
| Causal Inference with Machine Learning V Chernozhukov, MD Cinelli, E Duflo, I Fernandez-Val, C Hansen, ... | | 2022 |
| Risk Assessment and Spurious Seasonality MS Kurz, S Mittnik Econometrics and Statistics, 2022 | | 2022 |
| Dependence modeling with applications in financial econometrics MS Kurz lmu, 2018 | | 2018 |
Martin SpindlerUniversity of HamburgAdresse e-mail validée de uni-hamburg.de
