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Conference Paper: Variational inference for cognitive diagnosis models
| Title | Variational inference for cognitive diagnosis models |
|---|---|
| Authors | |
| Issue Date | 2020 |
| Citation | The Annual Meeting of the National Council on Measurement in Education (NCME): Making Measurement Matter, Virtual Meeting, San Francisco, CA, USA, 9-11 September 2020 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. 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 | Electronic Board Session |
| Persistent Identifier | http://hdl.handle.net/10722/289423 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ji, F | - |
| dc.contributor.author | Deonovic, B | - |
| dc.contributor.author | de la Torre, J | - |
| dc.contributor.author | Maris, G | - |
| dc.date.accessioned | 2020-10-22T08:12:27Z | - |
| dc.date.available | 2020-10-22T08:12:27Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | The Annual Meeting of the National Council on Measurement in Education (NCME): Making Measurement Matter, Virtual Meeting, San Francisco, CA, USA, 9-11 September 2020 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/289423 | - |
| dc.description | Electronic Board Session | - |
| 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. 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 | The Annual Meeting of the National Council on Measurement in Education (NCME), Virtual Meeting, 2020 | - |
| 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 | 317608 | - |