The Beta-Bernstein Bridge: Closed-Form Bayesian Measurement Beyond Monotone Item Response Functions

Yumou Wei


Abstract
Item response theory forces a choice between flexible curves and tractable inference. We bridge them by representing item response functions as Bernstein polynomials. With a natural conjugate Beta prior, this gives a closed-form ability posterior as a Beta mixture. It reproduces IRT and recovers non-monotone curves with bimodal posteriors.
Anthology ID:
2026.aimecon-main.72
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2026
Address:
Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
639–648
Language:
URL:
https://aclanthology.org/2026.aimecon-main.72/
DOI:
Bibkey:
Cite (ACL):
Yumou Wei. 2026. The Beta-Bernstein Bridge: Closed-Form Bayesian Measurement Beyond Monotone Item Response Functions. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 639–648, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
The Beta-Bernstein Bridge: Closed-Form Bayesian Measurement Beyond Monotone Item Response Functions (Wei, AIME-Con 2026)
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PDF:
https://aclanthology.org/2026.aimecon-main.72.pdf