Marie-Christine Düker

Assistant Professor
  • Department of Statistics and Data Science, Friedrich-Alexander University, Germany
  • marie.dueker@fau.de

About

I'm an assistant professor for Mathematical Statistics and Data Science at Friedrich-Alexander University. Prior to that I was a postdoctoral associate in the Department of Statistics and Data Science at Cornell University, working with David Matteson and Gennady Samorodnitsky.

I received my PhD in Mathematics at the Faculty of Mathematics at Ruhr-University Bochum working in Herold Dehlings group and spent my PhD part-time in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill under the supervision of Vladas Pipiras.

My current research interests include high-dimensional time series analysis, latent Gaussian count data, spectral density matrix estimation, dimension reduction, change-point analysis, functional data analysis, (multivariate) long-range dependence, nonstationary data and extreme value theory, applications in econometrics, neuroscience, chemistry and ecology.


CV

A CV can be found here.

Publications

Baek, C., Düker, M. , Pipiras, V.: Local Whittle estimation of high-dimensional long-run variance and precision matrices. The Annals of Statistics 51(6), 2386-2414, 2023. [Link] [arXiv]
Baek, C., Düker, M. , Jeong, S., Lee, T. : Detection of multiple change-points in high-dimensional panel data with cross-sectional and temporal dependence. Journal of Statistical Papers , 2023. [Link] Preprint.
Xu, Y., Düker, M. , Matteson, D.: Testing Simultaneous Diagonalizability. Journal of the American Statistical Association , 2023. [Link] [arXiv]
Goolsby, C., Losey, J., Xu, Y., Düker, M. , Sherman Getmansky, M., Matteson, D. S., Moradi, M.: Addressing the Embeddability Problem in Transition Rate Estimation. The Journal of Physical Chemistry A , 127(27), 5745-5759, 2023. [Link] [bioRxiv].
Davidow, M., Cory, M., Che-Castaldo, J., Schafer, T., Düker, M. , Corcoran, D., Matteson, D. S.: Clustering Future Scenarios Based on Predicted Range Maps. Methods in Ecology and Evolution , 2023. [Link] [arXiv].
Düker, M. , Lund, R., Pipiras, V.: High-dimensional latent Gaussian count time series: Concentration results for autocovariances and applications. [arXiv], 2022.
Betken, A., Düker, M. : Higher order approximation for constructing confidence intervals in time series. [arXiv], 2022.
Schafer, T., McGranaghan, R., Getmansky Sherman, M., Feng, M., Owolabi, O., Ryan, S., Düker, M. , Jauch, M., Matteson, D. S.: Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research. KDD Proceedings, 2021.
Düker, M. , Pipiras, V., Sundararajan, R.: Cotrending: testing for common deterministic trends in varying means model. Journal of Multivariate Analysis 187, 104825, 2021. [Link] Preprint Supplementary material
Düker, M. : High-dimensional time series under long-range dependence and nonstationarity. Dissertation , 2020
Düker, M. : Sample autocovariance operators of long-range dependent Hilbert space-valued linear processes. Preprint, 2020
Düker, M. : Limit theorems for multivariate long-range dependent processes. Stochastic Processes and their Applications 130, 5394–5425, 2020. [Link] [arXiv]
Düker, M. , Pipiras, V.: Asymptotic results for multivariate local Whittle estimation with applications. 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) , 2019). [Link] and Technical Appendix
Düker, M. : Limit theorems for Hilbert space-valued linear processes under long-range dependence. Stochastic Processes and their Applications , 128(5):1439–1465, 2018. [Link]

Presentations

  • 16th International Conference of the ERCIM WG on Computational and Methodological Statistics,Berlin, 16–18th December 2023 (invited).
  • Seminar, Department of Mathematics, University of Athens, December 2023 (invited).
  • Seminar, Department of Mathematics, EPFL, November 2023 (invited).
  • NBER-NSF Time Series Conference, Montreal, September 2023.
  • Joint Statistical Meetings (JSM), Toronto, August 2023 (invited).
  • 6th International Conference on Econometrics and Statistics (EcoSta 2023), Waseda University Tokyo, virtual, August 2023 (invited).
  • 13th Extreme Value Analysis Conference, Bocconi University Milan, June 2023 (invited).
  • Conference ``Women in Data Science", Friedrich-Alexander University Erlangen, virtual, April 2023 (invited).
  • Seminar, Department of Statistics and Mathematics, University of Massachusetts at Amherst, March 2023 (invited).
  • Conference “Adaptive and high-dimensional spatio-temporal methods for forecasting", CIRM Luminy, September 2022 (invited).
  • Conference, UP-STAT 2022 Hybrid Conference, Buffalo, May 2022 (invited).
  • Seminar, Department of Statistics and Data Science, Cornell University, March 2022.
  • Seminar, Econometrics and Statistics, University of Chicago, Booth School of Business, virtual, March 2022 (invited).
  • Seminar, Department of Statistics, University of Wisconsin Madison, virtual, February 2022 (invited).
  • Seminar, Department of Statistics, University of Michigan, January 2022 (invited).
  • Conference, 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, virtual, 18–20th December 2021 (invited).
  • Stochastics Seminar, Department Mathematics, University of Utah, October 2021.
  • Conference, 10th World Congress, virtual, July 19th–23rd.
  • Graduate Seminar, Department of Statistics and Operations Research, UNC Chapel Hill, September 2019.
  • Conference, 40th Conference on Stochastic Processes and their Applications, Gothenburg, 11–15th of June 2018.
  • 13th German Probability and Statistics Days, Freiburg, 27th February - 02nd March 2018.
  • Conference, 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, 16-18th December 2017.
  • Graduate Seminar, Department of Statistics and Operations Research, TU Dortmund, November 2017.
  • Conference, 31st European Meeting of Statisticians, Helsinki, 24-28th July 2017.

Contact

Friedrich-Alexander University
Department of Statistics and Data Science
Tech campus
Cauerstr. 11
Erlangen, Germany

E-Mail: marie.dueker@fau.edu