Parameter Identifiability of a Multitype Pure-Birth Model of Speciation-Reference-Cited by-同舟云学术

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Parameter Identifiability of a Multitype Pure-Birth Model of Speciation

Published:2023-03-01 Issue:3 Volume:30 Page:277-292
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Dragomir Dakota¹,Allman Elizabeth S.¹^ORCID,Rhodes John A.¹^ORCID

Affiliation:

1. Department of Mathematics and Statistics, University of Alaska Fairbanks, Fairbanks, Alaska, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2022.0330

Reference21 articles.

1. Identifiability of parameters in latent structure models with many observed variables

2. Some Results on Multitype Continuous Time Markov Branching Processes

3. A Multitype Birth–Death Model for Bayesian Inference of Lineage-Specific Birth and Death Rates

4. Dietary innovations spurred the diversification of ruminants during the Caenozoic

5. Diversitree : comparative phylogenetic analyses of diversification in R

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1. A Diffusion-Based Approach for Simulating Forward-in-Time State-Dependent Speciation and Extinction Dynamics;Bulletin of Mathematical Biology;2024-07-06

2. The Fossilised Birth-Death Model is Identifiable;2024-02-12

3. The build-up of the present-day tropical diversity of tetrapods;Proceedings of the National Academy of Sciences;2023-05-09

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