贝叶斯推断在土壤微生物生物地理学中的应用

微生物生物地理学主要研究微生物的分布格局及其驱动机制,经典频率数理统计方法是当前该研究领域中广泛使用的统计方法.近年来,贝叶斯推断作为重要的随机模拟数理统计方法正不断地应用于土壤微生物生物地理学的研究中.介绍了贝叶斯推断与经典频率数理统计的区别;描述了贝叶斯推断在土壤微生物生物地理学研究中的基本分析流程,包括模型构建、...

Application of Bayesian inference in soil microbial biogeography

Microbial biogeography mainly focuses on the distribution patterns of microorganisms and their driving mechanisms,and currently classical frequency mathematical and statistical methods are widely used in this field.In recent years,Bayesian inference has been continuously applied as an important random simulation mathematical statistics method for soil microbial biogeographical study.In this paper,we briefly introduce the differences between Bayesian inference and classical frequency mathematical statistics,and highlight the basic analytical process of Bayesian inference in soil microbial biogeographical study in terms of model construction,model fitting,and model improvement.We also evaluate the advantages,application potentials and development directions of Bayesian inference in this field and demonstrate the Bayesian inference process using simulated data with island biogeography theory as the research framework.Finally,we give an outlook on the application prospects of Bayesian inference in soil microbial biogeography.We believe that Bayesian inference will become one of the important tools for studying complex data and conducting model simulations in soil microbial biogeography.