Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses.

将非高斯扩散模型拟合到进化数据：建立系统发育比较分析的通用框架。

• 批准号: DP140101915
• 负责人: Dr Simone Blomberg
• 金额: $ 14.67万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-06-30 至 2019-02-28
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140101915
• 关键词: Fitting; non; Gaussian; diffusion; models

This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provide a new way of fitting a wide class of statistical models to evolutionary data, in a very general setting. Further, this project will unite current methodology in a broader framework so that the proposed new methods are a generalisation of currently accepted theory. The outcomes will include a freely-available software package that implements the methods in a user-friendly form.

该项目旨在为进化生物学开发尖端的统计方法，以便使用来自多个物种的数据回答大问题。之所以需要这种方法，是因为现在有各种各样的多物种数据，而使用目前的方法无法正确处理这些数据。这项研究意义重大，因为它将提供一种新的方法，在一个非常普遍的环境中，将各种统计模型拟合到进化数据中。此外，该项目将在一个更广泛的框架中统一当前的方法，以便提出的新方法是对当前公认理论的概括。其成果将包括一个免费提供的软件包，以方便用户的形式执行这些方法。