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Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model-Choice By Simulation-Trained Discriminant Analysis

View ORCID ProfileJeet Sukumaran, View ORCID ProfileEvan P. Economo, View ORCID ProfileL. Lacey Knowles
doi: https://doi.org/10.1101/021303
Jeet Sukumaran
1University of Michigan
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Evan P. Economo
2Okinawa Institute of Science and Technology
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L. Lacey Knowles
1University of Michigan
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Article Information

doi 
https://doi.org/10.1101/021303
History 
  • June 22, 2015.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Jeet Sukumaran1,
  2. Evan P. Economo2 and
  3. L. Lacey Knowles1
  1. 1University of Michigan
  2. 2Okinawa Institute of Science and Technology
  1. Corresponding author:
    Jeet Sukumaran, University of Michigan at Ann Arbor; E-mail: jeetsukumaran{at}gmail.com.
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Posted June 22, 2015.
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Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model-Choice By Simulation-Trained Discriminant Analysis
Jeet Sukumaran, Evan P. Economo, L. Lacey Knowles
bioRxiv 021303; doi: https://doi.org/10.1101/021303
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Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model-Choice By Simulation-Trained Discriminant Analysis
Jeet Sukumaran, Evan P. Economo, L. Lacey Knowles
bioRxiv 021303; doi: https://doi.org/10.1101/021303

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