Monte Carlo study of approximate confidence regions in some Gaussian branching processes
Title: |
Monte Carlo study of approximate confidence regions in some Gaussian branching processes |
DNr: |
LiU-compute-2021-1 |
Project Type: |
LiU Compute |
Principal Investigator: |
Hao Chi Kiang <hao.chi.kiang@liu.se> |
Affiliation: |
Linköpings universitet |
Duration: |
2021-01-08 – 2021-07-01 |
Classification: |
10615 |
Keywords: |
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Abstract
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.