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Arxiv|February 14, 2024
A Diffusion-Based Approach for Simulating Forward-in-Time State-Dependent Speciation and Extinction DynamicsAlbert C Soewongsono, Michael J LandisBulletin of Mathematical Biology|July 6, 2024
A Diffusion-Based Approach for Simulating Forward-in-Time State-Dependent Speciation and Extinction DynamicsAlbert C Soewongsono, Michael J LandisBiorxiv : the Preprint Server for Biology|February 27, 2026
Phylogenetic estimation of diversity-dependent biogeographic rates using deep learningAlbert C Soewongsono, Michael J LandisMedrxiv : the Preprint Server for Health Sciences|December 25, 2025
Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamicsAlbert C Soewongsono, Ammon Thompson, Michael J LandisProceedings of the National Academy of Sciences of the United States of America|July 2, 2026
Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamicsAlbert C Soewongsono, Ammon Thompson, Michael J LandisTheoretical Population Biology|October 5, 2019
Coalescence in the diffusion limit of a Bienaymé-Galton-Watson branching processConrad J Burden, Albert C SoewongsonoSystematic Biology|May 8, 2016
Biogeographic Dating of Speciation Times Using Paleogeographically Informed ProcessesMichael J LandisBioinformatics (Oxford, England)|November 6, 2013
Phylowood: interactive web-based animations of biogeographic and phylogeographic historiesMichael J Landis, Trevor BedfordSystematic Biology|May 14, 2025
phyddle: software for exploring phylogenetic models with deep learningMichael J Landis, Ammon ThompsonBiorxiv : the Preprint Server for Biology|August 16, 2024
phyddle: software for exploring phylogenetic models with deep learningMichael J Landis, Ammon ThompsonPageof 5