Bayesian Probability and Statistics in Management Research
本期特刊探讨贝叶斯方法如何补充甚至取代传统频率学派方法，以应对21世纪组织研究中复杂现象与数据带来的挑战。
Special Issue Purpose This special issue is focused on how a Bayesian approach to estimation, inference, and reasoning in organizational research might supplement—and in some cases supplant—traditional frequentist approaches. Bayesian methods are well suited to address the increasingly complex phenomena and problems faced by 21st-century researchers and organizations, where very complex data abound and the validity of knowledge and methods are often seen as contextually driven and constructed. Traditional modeling techniques and a frequentist view of probability and method are challenged by this new reality.