The Rasch Sampler

Norman D. Verhelst, Reinhold Hatzinger, Patrick Mair

Publication: Scientific journalJournal articlepeer-review

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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.
Original languageEnglish
Pages (from-to)1 - 14
JournalJournal of Statistical Software
Issue number4
Publication statusPublished - 2007

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