学术报告

题      目： Compositional inverse Gaussian models with applications in compositional data analysis with possible zero observations

报  告  人：刘鹏懿   讲师  (邀请人：吴琴 )

                                     云南财经大学

时      间：4月23日  16：00-17：00

地     点：数科院东楼401

报告人简介:

       香港大学统计与精算系博士，云南师范大学概率论与数理统计硕士，西南大学数学与应用数学学士。研究方向：生物统计，统计计算，分布理论与应用

摘      要：

       Compositional data (CoDa) often appear in various yelds such as biology, medicine, geology, chemistry, economics, ecology and sociology. Although existing Dirichlet and related models are frequently employed in CoDa analysis, sometimes they may provide unsatisfactory performances in modelling CoDa such as exhibiting a relatively larger departure from the true model as shown in our first real data example.