Carlina Feldmann (M.Sc.)

Research associate (PhD student)

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

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

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

"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

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
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
R Course: Visualisations with ggplot2, summer term 2022; Data manipulation with dplyr, winter term 2022/2023

Statistics and Data Analysis Group