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The Rasch Sampler

Verhelst, Norman D. and Hatzinger, Reinhold and Mair, Patrick (2007) The Rasch Sampler. Journal of Statistical Software, 20 (4). pp. 1-14. ISSN 1548-7660

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Abstract

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. (authors' abstract)

Item Type: Article
Additional Information: Article contains supplementary files. See http://dx.doi.org/10.18637/jss.v020.i04
Keywords: Markov chain Monte Carlo / binary matrices / fixed marginals / nonparametric tests / Rasch model
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Version of the Document: Published
Variance from Published Version: None
Depositing User: Elena Simukovic
Date Deposited: 26 Apr 2016 14:11
Last Modified: 26 Apr 2016 15:49
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/38164/
URI: http://epub.wu.ac.at/id/eprint/5022

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