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  • Statistics and Data Analysis Group

    Julia Dyck
    © Universität Bielefeld

Julia Dyck (M.Sc.)

Research associate (PhD student)

Room: V9-128
Phone: +49 521 106-4885
E-mail: j.dyck@uni-bielefeld.de

Short CV

  • Since 03/2021: PhD student in the Statistics and Data Analysis Group
  • 10/2018 – 02/2021: Studies of Statistical Science (M.Sc.) at Bielefeld University
  • 10/2017 – 09/2018: Studies of Mathematical Economics (M.Sc.) at Bielefeld University
  • 10/2014 – 09/2017: Studies of Mathematical Economics (B.Sc.) at Bielefeld University

Preprints

  • Dyck, J., Sauzet, O. (2022) "Parameter uncertainty estimation for exponential semi-variogram models: Two generalized bootstrap methods with check- and quantile-based filtering", arXiv:2202.05752

Software

Talks

  • "Bayesian survival analysis for signal detection of adverse drug reactions", 11th Young Researchers Workshop of the Centre for Statistics, Bielefeld, November 2022
  • "Parameter uncertainty estimation for exponential semi-variogram models", Statistical Computing Conference, Günzburg, July 2022
  • "Parameter uncertainty estimation for exponential semi-variogram models", DaGStat Conference Talklet, March 2022
  • "Bayesian survival analysis for signal detection of adverse drug reactions", 10th Young Researchers Workshop of the Centre for Statistics, Bielefeld, March 2022
  • "Parameter uncertainty estimation for exponential semi-variogram models ", Statistics Seminar Series, Bielefeld, November 2021

Teaching

  • "Statistical Consulting" (winter term 2022/23)
  • Practicals for the lecture course "Mathematik I" and „Mathematik II“ (2022-2023)
  • R Courses: "Introduction to R" and "Good Practices in R" (2022-2023)
  • Statistical part of the lecture course „Einführung in Epidemiologie und Biostatistik“ (winter term 2021/22)
  • Practicals for the lecture course „Hidden Markov Models“ (winter term 2021)
  • Tutorials for the lecture courses „Statistik I“, „Statistik II“ and „Angewandte Statistik“ (2017-2018)
  • Tutorial for the lecture course „Analysis I“ (winter term 2016/17)
  • Tutorials for the lecture course „Mathematik für Biologen und Biotechnologen“ (summer terms 2016 & 2017)

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