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Dr. Jonas Krampe

Postdoctoral Researcher am Lehr­stuhl für Empirische Wirtschafts­forschung

Dr. Jonas Krampe

Jonas Krampe forscht und lehrt seit 2018 an der Universität Mannheim. Er promovierte 2018 in Mathematik (Dr. rer. nat.) am Institut für mathematische Stochastik an der TU Braunschweig. Seine Forschungs­schwerpunkte liegen in den Bereichen:

  • Hochdimensionale Statistik
  • Univariate und multivariate Zeitreihenanalyse
  • Bootstrap Methoden
  • Analyse von Unfalldaten
  • Forschung

    Publications:

    • „Bootstrap Based Inference for Sparse High-Dimensional Time Series Models.“ with Kreiss, J. P., & Paparoditis, E. Accepted in Bernoulli (2020).
    • „Injury severity for hazard & risk analyses: calculation of ISO 26262 S-parameter Values from Real-World Crash Data.“ with M. Junge Accident Analysis & Prevention, 138 (2020), 105321.
    • „Time series modeling on dynamic networks“, Electronic Journal of Statistics 13.2 (2019): 4945-4976.
    • „Population-based assessment of a vehicle fleet with seat belts providing lower shoulder belt forces than today.“ with M. Junge, Traffic injury prevention 20.3 (2019): 320-324.
    • „Optimising casing milling Rate Of Penetration (ROP) by applying the concept of Mechanical Specific Energy (MSE): A justification of the Concept's applicability by literature review and a pilot study.“ with R. Suppes and E. Arian, Journal of Petroleum Science and Engineering (2019).
    • „Estimated Wold representation and spectral‐density‐driven bootstrap for time series.“ with J-P. Kreiss, and E. Paparoditis, Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80.4 (2018): 703-726.
    • „Injury risk functions for frontal oblique collisions.“ with N. Andricevic and M. Junge, Traffic injury prevention19.5 (2018): 518-522.
    • „Hybrid wild bootstrap for nonparametric trend estimation in locally stationary time series.“ with  J-P. Kreiss, and E. Paparoditis, Statistics & Probability Letters 101 (2015): 54-63.

Kontakt

Dr. Jonas Krampe

Postdoctoral Researcher am Lehr­stuhl für Empirische Wirtschafts­forschung
Universität Mannheim
Abteilung Volkswirtschafts­lehre
Lehr­stuhl für Empirische Wirtschafts­forschung

L 7, 3-5 – Raum 108
68161 Mannheim