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Conference Paper: Variational inference for cognitive diagnosis models
| Title | Variational inference for cognitive diagnosis models |
|---|---|
| Authors | |
| Issue Date | 2019 |
| Citation | 2019 Education Technology and Computational Psychometrics Symposium (ETCPS), Coralville, IA, USA, 9-10 October 2019 How to Cite? |
| Abstract | This study proposes the use of variational inference, a fast Bayesian inference alternative to Markov Chain Monte Carlo, for cognitive diagnosis models. Results show that the proposed method is comparable to Expectation-Maximization when the number of attributes ($K$) is moderate, and remains computationally feasible when $K$ is large. |
| Description | Poster presentation |
| Persistent Identifier | http://hdl.handle.net/10722/294375 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ji, D | - |
| dc.contributor.author | Deonovic, B | - |
| dc.contributor.author | de la Torre, J | - |
| dc.contributor.author | Maris, G | - |
| dc.date.accessioned | 2020-12-02T08:14:09Z | - |
| dc.date.available | 2020-12-02T08:14:09Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | 2019 Education Technology and Computational Psychometrics Symposium (ETCPS), Coralville, IA, USA, 9-10 October 2019 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/294375 | - |
| dc.description | Poster presentation | - |
| dc.description.abstract | This study proposes the use of variational inference, a fast Bayesian inference alternative to Markov Chain Monte Carlo, for cognitive diagnosis models. Results show that the proposed method is comparable to Expectation-Maximization when the number of attributes ($K$) is moderate, and remains computationally feasible when $K$ is large. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Educational Technology and Computational Psychometrics Symposium (ETCPS), 2019 | - |
| dc.title | Variational inference for cognitive diagnosis models | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | de la Torre, J: j.delatorre@hku.hk | - |
| dc.identifier.authority | de la Torre, J=rp02159 | - |
| dc.identifier.hkuros | 317614 | - |