High dimensional panel data analysis

About the Project

High dimensional data arises from monitoring pollution, meteorological indicators and other features that characterizes a complex system. The systems may function uniquely but interdependencies cannot be avoided. The study will explore the implication to statistical inference of high dimensional panel data. This will help resolve some problems in climate change and structural transformation suspected to be a solution/hindrance to the middle income trap problem.

Main Supervisor: Professor Erniel Barrios, Monash University

Associate Supervisors: Dr Lee How Chinh, Dr Shin Zhu Sim

Funding Notes

Successful applicants will be awarded a Graduate Research Excellence Scholarship (GRES).

GRES recipients will receive a full tuition fee waiver and a monthly stipend for up to 3 years 6 months.

Eligibility:

To be eligible for GRES, you must possess a minimum academic qualification of First Class Honours (H1) or its equivalence (H1E) recognised by Monash University Malaysia and satisfy the English language requirements.