Statistical Inference

统计推断

• 批准号: 1000229172-2013
• 负责人: Chen, Jiahua
• 金额: $ 14.57万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=694518
• 关键词: Statistical; Inference

Statistical methods for mixture models can tease out information about the characteristics of population subgroups, even including estimation of the number of subgroups present. These methods play a key role in the study of genetic diversity and in pinpointing the genetic origins of disease. Development of effective methods for mixture models has challenged many talented statisticians, due to the mathematical irregularity of these models. Previously, I focused on these challenges, resulting in the successful development of a series of powerful tests. I have published several papers on these tests and have received positive feedback from both researchers and practitioners.

混合模型的统计方法可以逗弄有关人口亚组特征的信息，即使包括对存在的亚组数量的估计。 这些方法在研究遗传多样性并指出疾病的遗传起源方面起着关键作用。由于这些模型的数学不规则性，开发混合模型的有效方法对许多才华横溢的统计学家提出了挑战。以前，我专注于这些挑战，从而成功开发了一系列强大的测试。我已经发表了几篇有关这些测试的论文，并收到了研究人员和从业者的积极反馈。