Professor Dr. habil. Jürgen Groß

Foto

Kontakt:

Telefon: +49 5121 883-40160
E-Mail Kontaktformular
Raum: SC.A.1.03
Sprechzeit: bis auf Weiteres per e-mail
Homepage: https://www.uni-hildesheim.de/fb4/institute/imai/abteilungen/mathematik-1/mitglieder/prof-dr-juergen-gross/ Homepage

Tätigkeitsbereiche:

    

Professurverwaltung

Zur Zeit verwalte ich die Professur für Algebra und Zahlentheorie und leite vertretungsweise die Abteilung Mathematik 1.

Lehre

Aktuell (WiSe 24/25):

  • Vorlesung 'Grundlagen der Mathematik'
  • Vorlesung 'Vertiefung Lineare Algebra'
  • Vorlesung 'Mathematische Methoden III Analysis'
  • Vorlesung 'Topics in Statistical Inference'
  • Seminar 'Themen der  Schulmathematik'

Frühere Vorlesungen:

  • Geometrie (SoSe 17, SoSe 18, SoSe 19, SoSe 21)

  • Statistik und Stochastik (SoSe 17, SoSe 18, SoSe 19, SoSe 20, SoSe 21, SoSe 22, SoSe 23, SoSe 24)

  • Stochastische Prozesse  (WiSe 16/17, WiSe17/18, WiSe 18/19, WiSe 19/20, SoSe 21)

  • Analysis (WiSe 19/20, WiSe 20/21, WiSe 22/23, WiSe 23/24, SoSe 24)

  • Vertiefung Lineare Algebra (WiSe 20/21, WiSe 21/22, WiSe 22/23)

  • Vertiefung Schätzen und Testen (SoSe 22, SoSe 23)

  • Mathematische Methoden II: Lineare Algebra (SoSe 22, SoSe 23)

  • Mathematische Methoden III: Analysis (WiSe23/24)

  • Analytische Methoden (Mathematische Methoden II) (SoSe 20)

  • Statistische Methoden (Mathematische Methoden III) (WiSe 16/17, WiSe 17/18, WiSe 18/19)

  • Datenanalyse und Statistik (WiSe 16/17, WiSe 17/18, WiSe 18/19, WiSe 19/20, WiSe 21/22, WiSe 23/24)

  • Survey Sampling (WiSe 20/21, WiSe 21/22, WiSe 22/23)

Forschung

Mein Forschungsinteresse liegt im Bereich angewandter und theoretischer statistischer Methoden. Dazu zählen als Schwerpunkte:

  • Lineare statistische Modelle und verwandte Matrixalgebra
  • Kognitive Diagnosemodelle
  • Statistische Nachbereitung von Ensemble-Wetterprognosen

Aktuelle Publikationen

  • David Jobst, Annette Möller, Jürgen Groß (2025). D-vine Generalized Additive Model copula-based quantile regression with application to ensemble postprocessing, Journal of the Royal Statistical Society Series C: Applied Statistics, 2025;, qlaf011, https://doi.org/10.1093/jrsssc/qlaf011 

  • David Jobst, Annette Möller and Jürgen Groß (2024b). Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas. Environmetrics, 2024; 35:e2887. Available from: https://doi.org/10.1002/env.2887 [Open Access]

  • David Jobst, Annette Möller und Jürgen Groß (2024a). Time Series based Ensemble Model Output Statistics for Temperature Forecasts Postprocessing. Quarterly Journal of the Royal Meteorological Society, 1–18. Available from: https://doi.org/10.1002/qj.4844 [Open Access]

  • Jürgen Groß and Annette Möller (2024). Some additional remarks on statistical properties of Cohen's d in the presence of covariates. Statistical Papers. DOI: https://doi.org/10.1007/s00362-023-01527-9 [Open Access]
  • David Jobst, Annette Möller and Jürgen Groß (2023). D-Vine Copula based Postprocessing of Wind Speed Ensemble Forecasts. Quarterly Journal of the Royal Meteorological Society, 149(755),  2575–2597. DOI: https://doi.org/10.1002/qj.4521
  • Jürgen Groß and Annette Möller (2023). A Note on Cohen's d From a Partitioned Linear Regression Model. Journal of Statistical Theory and Practice 17, 22. DOI: https://doi.org/10.1007/s42519-023-00323-w [Open Access]
  • Annette Möller, Ann Cathrice George and Jürgen Groß (2022). Predicting school transition rates in Austria with classification trees. International Journal of Research & Method in Eduction, DOI: 10.1080/1743727X.2022.2128744 [arXiv:2210.11580]
  • Sebastian Lerch, Sándor Baran, Annette Möller, Jürgen Groß, Roman Schefzik, Stephan Hemri and Maximiliane Graeter (2020). Simulation-based comparison of multivariate ensemble post-processing methods.  Nonlinear Processes in Geophysics, 27, 349–371. https://doi.org/10.5194/npg-27-349-2020 [Open Access]
  • Annette Möller and Jürgen Groß (2020). Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model. Quaterly Journal of the Royal Meteorological Society, 146, 211–224. https://doi.org/10.1002/qj.3667 [Open Access]

Preprints

  • Jürgen Groß and Annette Möller (2024). The zero degree of freedom non-central chi squared distribution for ensemble postprocessing. arXiv:2404.04964
  • Jürgen Groß and Annette Möller (2023). Effect Size Estimation in Linear Mixed Models. arXiv:2302.14580
  • Jürgen Groß (2021). A Note On The Randomized Kaczmarz Method With A Partially Weighted Selection Step. arXiv:2105.14583