Curriculum Vitae

Curriculum Vitae


Paper

  1. Yang, H.‑H., & Hsu, Y.‑F. (2024). The generalized Robbins‑Monro process and its application to psychophysical experiments for threshold estimation. Journal of Mathematical Psychology. https://doi.org/10.1016/j.jmp.2024.102855.

  2. Yang, H.-H., & Hsu, Y.-F. (2024). A Note on the application of stochastic approximation to computerized adaptive testing. Behaviormetrika, 1-18. https://doi.org/10.1007/s41237-023-00215-0

Working paper

  1. Yang, H.-H., & Hsu, Y. F. (Submitted). Applying a heterogeneous random utility model to data from conjoint experiments. PsyArXiv. https://doi.org/10.31234/osf.io/ytfx2

  2. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (Submitted). On the existence and uniqueness of MLE of the latent trait under log-concave distributional assumptions in IRT. PsyArXiv. https://doi.org/10.31234/osf.io/j25zw

  3. Chen, K.-M., Chen, Y.-C., Hung C.-C., & Yang, H.-H. (Manuscript). Estimating Preferences for College Programs Using Taiwanese College Admission Data.

  4. Yang, H.‑H., Cheng, C., & Hsu, Y.‑F. (Submitted). Parametric bootstrapping of standard errors for the ability parameter in IRT models: Asymptotic and small sample analyses. PsyArXiv. https://doi.org/10.31234/osf.io/697yj

  5. Cheng, C., Yang, H.‑H., & Hsu, Y.‑F. (Under revision). Identifiability of polychoric models with latent elliptical distributions.

  6. Tong, J.‑H., Yang, H.‑H., & Chen, Y.‑P. (In preparation). Decision‑making process of retail investors during a financial bubble: An fMRI study.

Conference

  1. Cheng, C., Yang, H.-H., Hsu, Y.-F., & Lay, K.-L. (2024). Hsu, Y.-F. Two are Better than One: Incorporating Likert Scale and Comparative Judgment Data in Joint Thurstonian IRT Model. Paper presented at the 63th annual meeting of the Taiwanese Psychological Association, Taipei, Taiwan.

  2. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). On the existence and uniqueness of polychoric correlations. The 88th Annual Convention of the Japanese Psychological Association.

  3. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). Existence and uniqueness of MLE of the ability in IRT. IMPS 2024.

  4. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2024). Predetermined R Squared: An Index of Later Development Determined by the Past. Will be presented at 27th Biennial Meeting of the International Society for the Study of Behavioural Development (ISSBD).

  5. Chen, K.-M., Chen, Y.-C., Hung C.-C., & Yang, H.-H. (2024). Estimating Preferences for College Programs Using Taiwanese College Admission Data. Presented at Annual Conference of the Population Association of Taiwan 2024, Taipei, Taiwan.

  6. Chen, K.-M., Chen, Y.-C., Hung C.-C., & Yang, H.-H. (2024). Estimating Preferences for College Programs Using Taiwanese College Admission Data. Presented at The 18th International Symposium on Econometric Theory and Applications (seta2024), Taipei, Taiwan.

  7. Chen, K.-M., Chen, Y.-C., Hung C.-C., 0& Yang, H.-H. (2023). College and Major Preference Estimation Using Taiwanese College Admission Data. Oral presented at Asian and Australasian Society of Labour Economics 2023 Conference, Taipei, Taiwan.

  8. Yang, H.-H., & Hsu, Y.-F. (2023). On the consistency and relative efficiency of a generalized Robbins-Monro process for threshold estimation. MathPsych 2023

  9. Yang, H.-H., Cheng, C., & Hsu, Y.-F. (2023). Evaluating SEs of parameter estimates in the 2PL model with exact parametric bootstrap. IMPS 2023.

  10. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2023). Identifiability of Polychoric Models with Latent Elliptical Distributions. IMPS 2023.

  11. Cheng, C., Yang, H.-H., & Hsu, Y.-F. (2022). Identifiability of polychoric models with latent elliptical distributions. Paper presented at the 60th annual meeting of the Taiwanese Psychological Association, Taipei, Taiwan.

  12. Yang, H.-H., & Hsu, Y.-F. (2021). Modification of the estimation method of threshold: A new adaptive method taking response time and response confidence into account. Paper presented at the 59th annual meeting of the Taiwanese Psychological Association, Taipei, Taiwan.

Education

  • M.S. in Psychology, National Taiwan University, Taipei, Taiwan (R.O.C.), 2022
  • B.S. in Psychology, National Taiwan University, Taipei, Taiwan (R.O.C.), 2020

Skills

Analytical

  • Statistical modeling
    • Principal component analysis
    • Factor analysis
    • Generalized linear model
  • Psychometrics
    • Structural equation modeling
    • Item response theory
  • Mathematical Psychology
    • Adaptive method (Stochastic approximation)
    • Drift diffusion model
  • Computational modeling
    • System‐dynamic modeling
    • Agent‐based modeling
    • Neural networks
  • Neuroimage analysis (fMRI)

Programming

  • R
  • Latex
  • Python
  • Matlab
  • SAS
  • Stata

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