Two data sets that are examples for an article titled "Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist"

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Two data sets that are examples for an article titled "Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist"

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2018-05-22

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Abstract

Two data sets, one previously on the web since 2009 at http://www.stat.umn.edu/geyer/gdor/catrec.txt and used as an example in the article "Likelihood inference in exponential families and directions of recession" doi:10.1214/08-EJS349, and the other a new example for a new article (https://arxiv.org/abs/1803.11240). For neither does the maximum likelihood estimator exist in the conventional sense. The new data set is much bigger and takes 4 days of computer time to use the methods of the 2009 article but only seconds with the methods of the new article.

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Suggested citation

Eck, Daniel J.; Geyer, Charles J.. (2018). Two data sets that are examples for an article titled "Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist". Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/197369.

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