Priors in Bayesian Estimation Under the Two-Parameter Logistic Model

Autor:	Selay Zor, Allan S. Cohen, Madeline Schellman, Elaine Duong, Guoguo Zheng, Jiawei Xiong, Jordan M. Wheeler, Seock-Ho Kim, Constanza Mardones
Rok vydání:	2021
Předmět:	symbols.namesake Bayes estimator Two parameter Computer program Computer science Item response theory Statistics Prior probability Rejection sampling symbols Logistic regression Gibbs sampling
Zdroj:	Springer Proceedings in Mathematics & Statistics ISBN: 9783030747718
DOI:	10.1007/978-3-030-74772-5_28
Popis:	A review of various priors used in Bayesian estimation under the two-parameter logistic model is presented together with clear mathematical definitions of the prior distributions. Examples that compared Bayesian estimation methods are presented using empirical data. The effects of the priors and their specifications on both item and ability parameter estimates are demonstrated. The computer program OpenBUGS that implements the rejection sampling method is the main program employed in the study. Issues in Bayesian estimation and use of priors in item response theory are discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::519e1c4799f106db03e08135b6846e84 https://doi.org/10.1007/978-3-030-74772-5_28 Zobrazit plný text záznamu