@inproceedings{wei-2026-beta,
title = "The Beta-Bernstein Bridge: Closed-Form {B}ayesian Measurement Beyond Monotone Item Response Functions",
author = "Wei, Yumou",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Full Papers",
month = oct,
year = "2026",
address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2026.aimecon-main.72/",
pages = "639--648",
ISBN = "979-8-9983004-0-0",
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."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wei-2026-beta">
<titleInfo>
<title>The Beta-Bernstein Bridge: Closed-Form Bayesian Measurement Beyond Monotone Item Response Functions</title>
</titleInfo>
<name type="personal">
<namePart type="given">Yumou</namePart>
<namePart type="family">Wei</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers</title>
</titleInfo>
<name type="personal">
<namePart type="given">Joshua</namePart>
<namePart type="family">Wilson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Christopher</namePart>
<namePart type="family">Ormerod</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Magdalen</namePart>
<namePart type="family">Beiting-Parrish</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>National Council on Measurement in Education (NCME)</publisher>
<place>
<placeTerm type="text">Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-9983004-0-0</identifier>
</relatedItem>
<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.</abstract>
<identifier type="citekey">wei-2026-beta</identifier>
<location>
<url>https://aclanthology.org/2026.aimecon-main.72/</url>
</location>
<part>
<date>2026-10</date>
<extent unit="page">
<start>639</start>
<end>648</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T The Beta-Bernstein Bridge: Closed-Form Bayesian Measurement Beyond Monotone Item Response Functions
%A Wei, Yumou
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F wei-2026-beta
%X 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.
%U https://aclanthology.org/2026.aimecon-main.72/
%P 639-648
Markdown (Informal)
[The Beta-Bernstein Bridge: Closed-Form Bayesian Measurement Beyond Monotone Item Response Functions](https://aclanthology.org/2026.aimecon-main.72/) (Wei, AIME-Con 2026)
ACL