A Literature Review of Stochastic Modeling for Phylogenetic Comparative Analysis in Trait Evolution DOI Creative Commons
Dwueng-Chwuan Jhwueng

Mathematics, Journal Year: 2025, Volume and Issue: 13(3), P. 361 - 361

Published: Jan. 23, 2025

Evolutionary inferences from phylogenetic trees can be modeled stochastically using a range of mathematical frameworks. Among these, stochastic differential equations (SDEs) provide particularly flexible and powerful approach to capturing the continuous-time dynamics evolutionary processes. This review summarizes advances in modeling for trait evolution along tree, with focus on (SDEs), Gaussian non-Gaussian processes, time series models that expressed as special cases general frameworks, depending questions being addressed or types data analyzed. We explore current developments future research directions comparative analysis evolution.

Language: Английский

A Literature Review of Stochastic Modeling for Phylogenetic Comparative Analysis in Trait Evolution DOI Creative Commons
Dwueng-Chwuan Jhwueng

Mathematics, Journal Year: 2025, Volume and Issue: 13(3), P. 361 - 361

Published: Jan. 23, 2025

Evolutionary inferences from phylogenetic trees can be modeled stochastically using a range of mathematical frameworks. Among these, stochastic differential equations (SDEs) provide particularly flexible and powerful approach to capturing the continuous-time dynamics evolutionary processes. This review summarizes advances in modeling for trait evolution along tree, with focus on (SDEs), Gaussian non-Gaussian processes, time series models that expressed as special cases general frameworks, depending questions being addressed or types data analyzed. We explore current developments future research directions comparative analysis evolution.

Language: Английский

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