Monte Carlo study of approximate confidence regions in some Gaussian branching processes
||Monte Carlo study of approximate confidence regions in some Gaussian branching processes|
||Hao Chi Kiang <email@example.com>|
||2021-01-08 – 2021-07-01|
In comparative phylogenetic analysis, multivariate Gaussian branching processes is a class of useful models to infer about the evolution of traits of species. However, currently it is not clear how to obtain a confidence region efficiently. I have found some methods to approximate the confidence regions by estimating the Fisher's Information, and this project aims at evaluate, via Monte Carlo methods, the how good my approximations are.