NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)1
Since 2007 (last 20 years)1
Descriptor
Bayesian Statistics1
Computer Interfaces1
Computer Software1
Computer Software Evaluation1
Efficiency1
Item Response Theory1
Monte Carlo Methods1
Programming Languages1
Usability1
Source
Measurement:…1
Author
Ames, Allison J.1
Au, Chi Hang1
Publication Type
Journal Articles1
Reports - Evaluative1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing one result Save | Export
Using Stan for Item Response Theory Models
Peer reviewed Peer reviewed
Direct linkDirect link
Ames, Allison J.; Au, Chi Hang – Measurement: Interdisciplinary Research and Perspectives, 2018
Stan is a flexible probabilistic programming language providing full Bayesian inference through Hamiltonian Monte Carlo algorithms. The benefits of Hamiltonian Monte Carlo include improved efficiency and faster inference, when compared to other MCMC software implementations. Users can interface with Stan through a variety of computing…
Descriptors: Item Response Theory, Computer Software Evaluation, Computer Software, Programming Languages