Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models

• Yucai Shao,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Biostatistics, University of California, Los Angeles, California, United States of America

  https://orcid.org/0009-0005-8703-7651

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• Andrew F. Magee,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – review & editing

  Affiliation Department of Biomathematics, University of California, Los Angeles, California, United States of America

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• Tetyana I. Vasylyeva,

  Roles Data curation, Resources, Writing – review & editing

  Affiliations Department of Medicine, University of California San Diego, La Jolla, California, United States of America, Department of Population Health and Disease Prevention, University of California Irvine, Irvine, California, United States of America

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• Marc A. Suchard

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: msuchard@ucla.edu

  Affiliations Department of Biostatistics, University of California, Los Angeles, California, United States of America, Department of Biomathematics, University of California, Los Angeles, California, United States of America, Department of Human Genetics, Universtiy of California, Los Angeles, California, United States of America

  https://orcid.org/0000-0001-9818-479X

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