Statistics and Data Analysis Group

Carlina Feldmann (M.Sc.)

Research associate (PhD student)

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

Short CV

• Since 05/2022: PhD student in the Statistics and Data Analysis Group
• 10/2019 – 11/2019: Research stay at the University of St Andrews
• 10/2018 – 04/2022: Studies of Statistical Science (M.Sc.) at Bielefeld University
• 10/2013 – 09/2018: Studies of Sociology (B.A.) at Bielefeld University

Current research

• Koslik, J.-O., Feldmann, C.C., Mews, S., Michels, R., Langrock, R. (2023)
  "Inference on the state process of periodically inhomogeneous hidden Markov models for animal behaviour"
  arXiv:2312.14583

• Feldmann, C.C., Mews, S., Coculla, A. Stanewsky, R., Langrock, R. (2023)
  "Flexible modelling of diel and other periodic variation in hidden Markov models"
  Journal of Statistical Theory and Practice, in press

• Byrnes, E.E., Adam, T., Feldmann, C.C., Kaplinskaya, L., Sticker, K., Fredebeul, R.J., Lear, K.O., Morgan, D.L., Beatty, S.J., Langrock, R., Gleiss, A.C. (2023)
  "Daily time constraints limit behavioural capacity to cope with thermally increased metabolic demands"
  bioRxiv, preprint

Talks

• "Inferring individual variation in behavioural patterns using mixtures of hidden Markov models", International Statistical Ecology Conference, Swansea, UK, July 2024
• "Mixtures of hidden Markov models for inference on individual variation in behavioural patterns", A Novel Synthesis of Individualisation across Behaviour, Ecology and Evolution, Münster, September 2024
• "Mixtures of hidden Markov models for joint inference from time series showing distinct behavioural patterns", 13th Young Researchers Workshop of the Centre for Statistics, Bielefeld, February 2024
• "Inference on the state distribution in periodic hidden Markov models", CLADAG 2023, Salerno, September 2023
• "Modelling time-of-day variation in hidden Markov models using cyclic P-splines", 37th International Workshop on Statistical Modelling, Dortmund, July 2023
• "Nonparametric inference in periodically inhomogeneous hidden Markov models", ZeSt seminar series, Bielefeld University, May 2023
• "Modelling state switching dynamics using P-splines", 11th Young Researchers Workshop of the Centre for Statistics, Bielefeld, November 2022
• "An expectation-maximization algorithm for hidden Markov models with random effects in the state process", ZeSt seminar series, Bielefeld University, May 2022

Teaching

• Practicals for the lecture ''Multivariate Methods'', winter term 2023/24
• Practicals for the lecture ''Hidden Markov models'', summer term 2023
• "Statistical Consulting", winter term 2022/23 & 2023/24, summer term 2024
• Practicals for the lecture ''Generalized linear models'', winter term 2022/23
• Seminar on "Daten in den Medien - Information versus Manipulation", winter term 2020/21, summer term 2021, 2022, 2023 & 2024
• R Course: Visualisations with ggplot2, summer term 2022; Data manipulation with dplyr, winter term 2022/2023