• Statistics and Data Analysis Group

    © Universität Bielefeld

Jennifer Pohle (M.Sc.)

© Jennifer Pohle

Research associate (PhD student)

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

Short CV

  • Since 04/2016: PhD student in the Statistics and Data Analysis Group
  • 10/2013-02/2016: Studies of Statistical Science (M.Sc.) at Bielefeld University
  • 09/2011-01/2012: Erasmus semester at University Savoie Mont Blanc in Chambéry, France
  • 10/2009-03/2013: Studies of Communication Science and Economics (B.A.) at Friedrich Schiller University Jena

Research

Talks

  • Flexible estimation of the state dwell-time distribution in hidden semi-Markov models, virtual ISEC, June 2020
  • Modelling interacting bottlenose dolphins using coupled hidden Markov models, Department of Bioscience, Aarhus University, Denmark, November 2019
  • Flexible estimation of the state dwell-time distribution in hidden semi-Markov models, 8th Young Researchers Workshop of the Centre for Statistics, Bielefeld, November 2019
  • Modeling interactions between individuals using coupled hidden Markov models, 34th International Workshop on Statistical Modelling, Guimarães, Portugal, July 2019
  • Functional data analysis for modeling distinctive shapes in high-resolution state-switching time series, 7th Young Researchers Workshop of the Centre for Statistics, Bielefeld, May 2019
  • Coupled state-switching models with application in ecology and medicine, 5th DagStat, Munich, March 2019
  • Coupled Markov-switching regression models with application to electronic health record data, 11th CMStatistics, Pisa, Italy, December 2018
  • Modeling interactions between animals using coupled hidden Markov models, Workshop of the Centre for Statistics, Bielefeld, December 2018
  • Coupled Markov-switching regression: inference and a case study using electronic health record data, 33rd International Workshop on Statistical Modelling, Bristol, UK, July 2018
  • State architectures in hidden Markov models, Statistical Computing 2018, Günzburg, July 2018
  • Selecting the number of states in hidden Markov models - Practical challenges and pragmatic solutions, 6th International Statistical Ecology Conference, St Andrews, UK, July 2018
  • Inference in coupled hidden Markov models, Workshop of the Centre for Statistics, Bielefeld University, June 2018
  • Dominant processes in multivariate hidden Markov models for electronic health record data, Workshop of the Centre for Statistics, Bielefeld University, October 2017
  • Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement, IBS Journal Club, October 2017
  • Pragmatic order selection in HMMs, Workshop of the Centre for Statistics, Bielefeld University, May 2017
  • Pragmatic order selection in HMMs, Workshop of the Centre for Statistics, Bielefeld University, October 2016
  • Probit and mixed logit models for panel data - a theoretical and simulation comparison, Sociology Seminar Series, Bielefeld University, June 2016
  • A simulation comparison of probit and mixed-logit estimation for panel data, Bielefeld University, Workshop of the Centre for Statistics, April 2016

Awards

  • "Best student paper award", 33rd International Workshop on Statistical Modelling, Bristol, UK, July 2018

Teaching

  • Exercise course for the lecture courses "Mathematik I" and "Mathematik II" (2019-present)
  • Statistical Consulting (winter term 2017/18, winter term 2018/19, winter term 2019/20, summer term 2020)
  • Reading Course (Statistische Wissenschaften) on "Statistical Learning with Sparsity" (Hastie, Tibshirani,Wainwright, 2015), winter term 2019/20
  • Reading Course (Statistische Wissenschaften) on "Doing Bayesian Data Analysis" (Kruschke, 2015), winter term 2017/18
  • Reading Course (Statistische Wissenschaften) on "Pattern Recognition and Machine Learning" (Bishop, 2006), winter term 2016/17
  • Practicals for the workshop "Hidden Markov models for animal movement and other ecological data", St Andrews, UK, August 2017
  • Practicals for hidden Markov models (2017-2018)
  • Tutorials for the lecture courses "Statistik I" and "Statistik II" (2014-2017)