Imputation estimators for unnormalized models with missing data
dc.contributor.author | Uehara, Masatoshi | |
dc.contributor.author | Matsuda, Takeru | |
dc.contributor.author | Kim, Jae Kwang | |
dc.contributor.department | Statistics | |
dc.date | 2019-09-19T05:13:55.000 | |
dc.date.accessioned | 2020-07-02T06:57:31Z | |
dc.date.available | 2020-07-02T06:57:31Z | |
dc.date.copyright | Tue Jan 01 00:00:00 UTC 2019 | |
dc.date.issued | 2019-03-12 | |
dc.description.abstract | <p>We propose estimation methods for unnormalized models with missing data. The key concept is to combine a modern imputation technique with estimators for unnormalized models including noise contrastive estimation and score matching. Further, we derive asymptotic distributions of the proposed estimators and construct the confidence intervals. The application to truncated Gaussian graphical models with missing data shows the validity of the proposed methods.</p> | |
dc.description.comments | <p>This pre-print is made available through arxiv: <a href="https://arxiv.org/abs/1903.03630">https://arxiv.org/abs/1903.03630</a>.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/stat_las_pubs/263/ | |
dc.identifier.articleid | 1271 | |
dc.identifier.contextkey | 15169799 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | stat_las_pubs/263 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/90580 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/stat_las_pubs/263/2019_Kim_ImputationEstimatorsManuscript.pdf|||Fri Jan 14 23:02:46 UTC 2022 | |
dc.subject.disciplines | Statistical Methodology | |
dc.subject.disciplines | Statistical Models | |
dc.subject.disciplines | Theory and Algorithms | |
dc.subject.keywords | Unnormalized Models | |
dc.subject.keywords | Noise Contrastive Estimation | |
dc.subject.keywords | Score Matching | |
dc.subject.keywords | Missing Data | |
dc.subject.keywords | Graphical Models | |
dc.subject.keywords | Missing Not at Random | |
dc.title | Imputation estimators for unnormalized models with missing data | |
dc.type | article | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | fdf914ae-e48d-4f4e-bfa2-df7a755320f4 | |
relation.isOrgUnitOfPublication | 264904d9-9e66-4169-8e11-034e537ddbca |
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