skip to main contentskip to main menuskip to footer Universität Bielefeld Play Search
skip to main content
skip breadcrumb navigation to main content

Statistics and Data Analysis Group

© Universität Bielefeld

Dr. Sina Mews

Sina Mews
© Sina Mews

Postdoctoral research associate

Room: V9-126
Phone: +49 521 106-5103
E-mail: sina.mews@uni-bielefeld.de

CV

  • since 04/2023: Postdoc in the Statistics and Data Analysis Group
  • since 07/2020: Member of the ("Sonderforschungsbereich") SFB-TRR 212
  • 06/2018-03/2023: PhD student in the Statistics and Data Analysis Group
  • 10/2015-06/2018: M.Sc. in Statistical Science, Bielefeld University
  • 10/2011-09/2015: B.A. in Applied Literary and Cultural Studies, TU Dortmund
  • 09/2013-12/2013: Erasmus semester at University of Angers, France

Publications in peer-reviewed journals

Other publications & preprints

Talks & posters

  • "Modelling medical claims data using Markov-modulated market Poisson processes", 37th International Workshop on Statistical Modelling, Dortmund, July 2023
  • "Modelling longitudinal claims data using Markov-modulated marked Poisson processes", 15th CMStatistics, London, UK, December 2022
  • "Modelling claims data using Markov-modulated marked Poisson processes", 11th Young Researchers Workshop of the Centre for Statistics, Bielefeld, November 2022
  • "Uncovering behavioural niche mechanisms from individual-level ecological time series", CRC 212 Retreat, Hoherodskopf, August 2022
  • "Continuous-time latent-state modelling of delinquent behaviour in adolescence and young adulthood", 6th DAGStat, Hamburg, March 2022
  • "Continuous-time modelling of disease progression using claims data: how hard can it be?", 10th Young Researchers Workshop of the Centre for Statistics, Bielefeld, March 2022
  • "Continuous-time latent-state modelling of irregularly sampled sequential data", University of St Andrews Statistics Seminars, St Andrews, January 2022
  • "Latent-state modelling of delinquent behaviour in adolescence and young adulthood", Research Class on Quantitative Methods and Statistics, Bielefeld, November 2021
  • "Latent-state modelling of irregularly sampled sequential data", University of Edinburgh Statistics Seminars, Edinburgh, September 2021
  • "Uncovering behavioural niche mechanisms from individual-level ecological time series", CRC 212 Retreat, Helgoland, September 2021
  • "Continuous-time modelling of the hot hand effect in basketball free throws", 35th International Workshop on Statistical Modelling (held online), July 2021
  • "Latent-state modelling of patients’ disease progression in continuous time based on medical claims data", 9th Young Researchers Workshop of the Centre for Statistics, Bielefeld, July 2021
  • "Inference on individual variation in foraging strategies of Gálapagos sea lions", Virtual National Centre for Statistical Ecology meeting (held online), June 2021
  • "Continuous-time state-space modelling of delinquent behaviour in adolescence and young adulthood", Research Synthesis & Big Data (held online), Frankfurt am Main, May 2021
  • "Continuous-time state-space modelling of delinquent behaviour in adolescence and young adulthood", Statistics Seminar Series (held online), Bielefeld, January 2021
  • "Multi-state capture-recapture in continuous time", 7th International Statistical Ecology Conference (held online), June 2020
  • "Investigating the hot hand effect in continuous time", 8th Young Researchers Workshop of the Centre for Statistics, Bielefeld, November 2019
  • "A continuous-time Arnason-Schwarz model for the annual movement of bottlenose dolphins", Royal Statistical Society International Conference, Belfast, UK, September 2019
  • "A continuous-time capture-recapture model for annual movements of bottlenose dolphins", 34th International Workshop on Statistical Modelling, Guimarães, Portugal, July 2019
  • "A continuous-time capture-recapture model for the annual movement of bottlenose dolphins", Statistical Computing, Günzburg, July 2019
  • "A multi-state capture-recapture model in continuous time for the annual movement of bottlenose dolphins", 7th Young Researchers Workshop of the Centre for Statistics, Bielefeld, May 2019
  • "A continuous-time multi-state capture-recapture model for the annual movement of bottlenose dolphins on the east coast of Scotland", 5th DAGStat, Munich, March 2019
  • "Nonparametric estimation in hidden Markov models using the EM algorithm", 11th CMStatistics, Pisa, Italy, December 2018
  • "Nonparametric estimation in hidden Markov models using the EM algorithm", 6th Young Researchers Workshop of the Centre for Statistics, Bielefeld, December 2018
  • "Grey seal behaviour in relation to environmental variability and commercial fishing activity – an analysis using multivariate hidden Markov models", 6th International Statistical Ecology Conference, St Andrews, UK, July 2018
  • "Grey seal behaviour in relation to environmental variability and commercial fishing activity – an analysis using multivariate hidden Markov models", 5th Young Researchers Workshop of the Centre for Statistics, Bielefeld, June 2018
  • "Statistical Literacy von Schülerinnen und Schülern in Deutschland – Empirische Analysen auf der Grundlage von PISA 2012", Herbsttagung der Kommission Bildungsplanung, Bildungsorganisation und Bildungsrecht (KBBB) in der Deutschen Gesellschaft für Erziehungswissenschaft (DGfE), Paderborn, September 2016

Awards

  • "Best student presentation award", 34th International Workshop on Statistical Modelling, Guimarães, Portugal, July 2019
  • "1. Posterpreis", Herbsttagung der Kommission Bildungsplanung, Bildungsorganisation und Bildungsrecht (KBBB) in der Deutschen Gesellschaft für Erziehungswissenschaft (DGfE), Paderborn, September 2016

Teaching

  • Lecture "Hidden Markov Models", summer terms 2022 & 2023
  • Seminar on "Daten in den Medien - Information versus Manipulation", winter term 2020/21, summer terms 2021, 2022 & 2023
  • Practicals for the lecture ''Multivariate Methods'', winter terms 2019/20 & 2020/21
  • "Statistical Consulting", winter terms 2018/19, 2019/20 & 2021/22
  • Practicals for the lecture ''Hidden Markov Models'', summer term 2019
  • Reading Course on "Flexible Regression and Smoothing. Using GAMLSS in R" (Stasinopoulos et al., 2017), winter term 2018/19
back to top