6 Publikationen

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  • [6]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984297
    Oelschläger L, Bauer D (2023)
    Bayesian probit models for preference classification: an analysis of chess players’ propensity for risk-taking.
    In: Proceedings of the 37th International Workshop on Statistical Modelling. TU Dortmund University (Ed); 549-553.
    PUB | Download (ext.)
     
  • [5]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957037
    Oelschläger L, Adam T (2021)
    Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models.
    Statistical Modelling 23(2): 107-126.
    PUB | DOI | WoS
     
  • [4]
    2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2951073 OA
    Oelschläger L, Bauer D (2021)
    Bayes Estimation of Latent Class Mixed Multinomial Probit Models.
    Presented at the TRB Annual Meeting 2021, Online.
    PUB | PDF
     
  • [3]
    2021 | Wissenschaftliche Software | PUB-ID: 2982764
    Oelschläger L, Adam T, Michels R (2021)
    fHMM: fitting hidden Markov models to financial data (R package).
    CRAN.
    PUB
     
  • [2]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982766
    Adam T, Oelschläger L (2020)
    Hidden Markov models for multi-scale time series: an application to stock market data.
    In: Proceedings of the 35th International Workshop on Statistical Modelling. Part I. Irigoien I, Lee D-J, Martínez-Minaya J, Rodríguez-Álvarez MX (Eds); Bilbao: Universidad del País Vasco: 2-7.
    PUB
     
  • [1]
    2020 | Konferenzbeitrag | PUB-ID: 2951071
    Oelschläger L, Bauer D (2020)
    Bayes Estimation of Latent Class Mixed Multinomial Probit Models.
    Presented at the TRB Annual Meeting 2021.
    PUB
     

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