Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
Statistical summaries of unlabelled evolutionary trees
Biometrika. 2023 Apr 26;111(1):171-193. doi: 10.1093/biomet/asad025. eCollection 2024 Mar.ABSTRACTRooted and ranked phylogenetic trees are mathematical objects that are useful in modelling hierarchical data and evolutionary relationships with applications to many fields such as evolutionary biology and genetic epidemiology. Bayesian phylogenetic inference usually explores the posterior distribution of trees via Markov chain Monte Carlo methods. However, assessing uncertainty and summarizing distributions remains challenging for these types of structures. While labelled phylogenetic trees have been extensively studied, rela...
Source: Biometrika - February 14, 2024 Category: Biotechnology Authors: Rajanala Samyak Julia A Palacios Source Type: research
