Papers
Okuyama, K., & Brandt, H., & Kelava A. (2023, September). “Forecasting in regime-switching models that emerge from filtering and machine learning.” M.Sc. thesis, University of Tübingen.
Okuyama, K., & Misumi, T., (2019, March). “Transmission of Quantum Information -Quantum Teleportation and Bell’s Inequality-.” B.Sc. thesis, Akita University.
Presentations
Okuyama, K., & Schaffland T., & Kilian P., & Brandt, H., & Kelava A. (2024, September). "Forecasting in regime-switching models that emerge from filtering and machine learning." Presentation at the 53rd DGPs Congress, University of Vienna, Austria.
Okuyama, K., & Schaffland T., & Kilian P., & Brandt, H., & Kelava A. (2024, March). "Frequentist forecasting in regime-switching models using filtering and machine learning." Presentation at the Meeting of the Working Group Structural Equation Modeling, University of Twente, Netherlands.
Fabbricatore R. &, Okuyama K., & Orsoni M. (2022, July). "Predicting Item Difficulty in Multiplication Games: Linear and Non-linear Models to Detect Feature Effects." Datathon at International Meeting of Psychometric Society (IMPS), University of Bologna, Italy.
Awards
Fabbricatore R. &, Okuyama K., & Orsoni M. (2022, July). "Predicting Item Difficulty in Multiplication Games: Linear and Non-linear Models to Detect Feature Effects." Datathon at International Meeting of Psychometric Society (IMPS), University of Bologna, Italy.
Teaching
Kelava A. & Okuyama K. (Winter semester 2024/25). "Bayesian Modeling (QDS-PS3 / QDS-FO7)". M.Sc. Quantitative Data Science: Psychometrics, Econometrics and Machine Learning, University of Tübingen.
Faleh R. & Okuyama K. (Summer semester 2024). "Research Project (QDS-FO8)". M.Sc. Quantitative Data Science: Psychometrics, Econometrics and Machine Learning, University of Tübingen.