Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance

Purpose The purpose of this study is to compare two libraries dedicated to the Markov chain Monte Carlo method: pystan and numpyro. In the comparison, we mainly focused on the agreement of estimated latent parameters and the performance of sampling using the Markov chain Monte Carlo method in Bayesi...

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Bibliographic Details
Main Authors: Mizuho Nishio, Eiji Ota, Hidetoshi Matsuo, Takaaki Matsunaga, Aki Miyazaki, Takamichi Murakami
Format: Article
Language:English
Published: PeerJ Inc. 2023-10-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1620.pdf