The Rasch Sampler
The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2007-02-01
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| Series: | Journal of Statistical Software |
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| Online Access: | http://www.jstatsoft.org/v20/i04/paper |
| _version_ | 1818495445990637568 |
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| author | Norman D. Verhelst |
| author_facet | Norman D. Verhelst |
| author_sort | Norman D. Verhelst |
| collection | DOAJ |
| description | The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main diagonal, a problem prominent in social network analysis. In all cases the stationary distribution is uniform. The user has control on the serial dependency. |
| first_indexed | 2024-12-10T18:20:28Z |
| format | Article |
| id | doaj.art-7d3941762b214e9abc8f53d0bf97cbb8 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-12-10T18:20:28Z |
| publishDate | 2007-02-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-7d3941762b214e9abc8f53d0bf97cbb82022-12-22T01:38:13ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602007-02-01204The Rasch SamplerNorman D. VerhelstThe Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main diagonal, a problem prominent in social network analysis. In all cases the stationary distribution is uniform. The user has control on the serial dependency.http://www.jstatsoft.org/v20/i04/paperMarkov chain Monte Carlobinary matricesfixed marginalsnonparametric testsRasch model |
| spellingShingle | Norman D. Verhelst The Rasch Sampler Journal of Statistical Software Markov chain Monte Carlo binary matrices fixed marginals nonparametric tests Rasch model |
| title | The Rasch Sampler |
| title_full | The Rasch Sampler |
| title_fullStr | The Rasch Sampler |
| title_full_unstemmed | The Rasch Sampler |
| title_short | The Rasch Sampler |
| title_sort | rasch sampler |
| topic | Markov chain Monte Carlo binary matrices fixed marginals nonparametric tests Rasch model |
| url | http://www.jstatsoft.org/v20/i04/paper |
| work_keys_str_mv | AT normandverhelst theraschsampler AT normandverhelst raschsampler |