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The power and pitfalls of Dirichlet-multinomial mixture models for ecological count data

John D. O’Brien, Nicholas R. Record, Peter Countway
doi: https://doi.org/10.1101/045468
John D. O’Brien
1Bowdoin College, Department of Mathematics, Brunswick, Maine 04011 USA
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Nicholas R. Record
2Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine 04544 USA
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Peter Countway
2Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine 04544 USA
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Article Information

doi 
https://doi.org/10.1101/045468
History 
  • April 20, 2016.

Article Versions

  • Version 1 (March 24, 2016 - 11:40).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

Author Information

  1. John D. O’Brien1,
  2. Nicholas R. Record2 and
  3. Peter Countway2
  1. 1Bowdoin College, Department of Mathematics, Brunswick, Maine 04011 USA
  2. 2Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine 04544 USA
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Posted April 20, 2016.
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The power and pitfalls of Dirichlet-multinomial mixture models for ecological count data
John D. O’Brien, Nicholas R. Record, Peter Countway
bioRxiv 045468; doi: https://doi.org/10.1101/045468
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The power and pitfalls of Dirichlet-multinomial mixture models for ecological count data
John D. O’Brien, Nicholas R. Record, Peter Countway
bioRxiv 045468; doi: https://doi.org/10.1101/045468

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