Stochasticity conditions for the general Markov model Authors Marina Garrote López Universitat Politècnica de Catalunya Keywords: Phylogenetic tree, phylogenetic invariants, general Markov model, joint distribution, tensor. Abstract In phylogenetics it is useful to model evolution adopting parametric statistic models. Using these models one is able to deduce polynomial relationships between the theoretical probabilities of characters at the leaves of a phylogenetic tree, known as phylogenetic invariants. We revisit and correct some results on stochasticity conditions of the parameters of these models and we nd new phylogenetic invariants. Downloads Download data is not yet available. Downloads PDF Published 2016-04-19 How to Cite Garrote López, M. (2016). Stochasticity conditions for the general Markov model. Reports@SCM, 2(1), 45–57. Retrieved from https://revistes.iec.cat/index.php/reports/article/view/139733 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 2 No. 1 (2016) Section Articles License The intellectual property of articles belongs to the respective authors.On submitting articles for publication to the journal Reports@SCM, authors accept the following terms:Authors assign to Societat Catalana de Matemàtiques (a subsidiary of Institut d’Estudis Catalans) the rights of reproduction, communication to the public and distribution of the articles submitted for publication to Reports@SCM.Authors answer to Societat Catalana de Matemàtiques for the authorship and originality of submitted articles.Authors are responsible for obtaining permission for the reproduction of all graphic material included in articles.Societat Catalana de Matemàtiques declines all liability for the possible infringement of intellectual property rights by authors.The contents published in the journal, unless otherwise stated in the text or in the graphic material, are subject to a Creative Commons Attribution-NonCommercial-NoDerivs (by-nc-nd) 3.0 Spain licence, the complete text of which may be found at https://creativecommons.org/licenses/by-nc-nd/3.0/es/deed.en. Consequently, the general public is authorised to reproduce, distribute and communicate the work, provided that its authorship and the body publishing it are acknowledged, and that no commercial use and no derivative works are made of it.The journal Reports@SCM is not responsible for the ideas and opinions expressed by the authors of the published articles.