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Research focus/expertise in the Department include: (1) Computational Statistics: Bayesian hierarchical models, empirical Bayes, large-scale data analysis, Markov chain Monte Carlo, statistical machine Learning; (2) Functional Data Analysis: Bayesian inverse problems in physical oceanography, oceanography, trajectory analysis in life course epidemiology ; (3) Inferential Statistics: efficient estimation for semiparametric models, empirical likelihood, knockoff statistics, model selection, non-standard asymptotic theory, post-selection inference; (4) Statistical Genetics Genomics Omics: analysis of whole-genome sequencing data, integrative analysis of multi-omics data; (5) Survival and Event History Analysis: competing risks models for HIV/AIDS data, counting process and martingale methods, network survival model; (6) Time Series Analysis: inference for stochastic processes, risk management, statistical finance.
Programme overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Research focus/expertise in the Department include: (1) Computational Statistics: Bayesian hierarchical models, empirical Bayes, large-scale data analysis, Markov chain Monte Carlo, statistical machine Learning; (2) Functional Data Analysis: Bayesian inverse problems in physical oceanography, oceanography, trajectory analysis in life course epidemiology ; (3) Inferential Statistics: efficient estimation for semiparametric models, empirical likelihood, knockoff statistics, model selection, non-standard asymptotic theory, post-selection inference; (4) Statistical Genetics Genomics Omics: analysis of whole-genome sequencing data, integrative analysis of multi-omics data; (5) Survival and Event History Analysis: competing risks models for HIV/AIDS data, counting process and martingale methods, network survival model; (6) Time Series Analysis: inference for stochastic processes, risk management, statistical finance.
Admission Requirements
6.5+
3.3+
79+
2 Years
Sep
Scholarships
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PhD (Biostatistics)
City University of Hong Kong, Kowloon,, Hong Kong SAR
# =60QS Subject Rankings
24 monthsProgramme duration
MathematicsMain Subject Area
Programme overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Research focus/expertise in the Department include: (1) Computational Statistics: Bayesian hierarchical models, empirical Bayes, large-scale data analysis, Markov chain Monte Carlo, statistical machine Learning; (2) Functional Data Analysis: Bayesian inverse problems in physical oceanography, oceanography, trajectory analysis in life course epidemiology ; (3) Inferential Statistics: efficient estimation for semiparametric models, empirical likelihood, knockoff statistics, model selection, non-standard asymptotic theory, post-selection inference; (4) Statistical Genetics Genomics Omics: analysis of whole-genome sequencing data, integrative analysis of multi-omics data; (5) Survival and Event History Analysis: competing risks models for HIV/AIDS data, counting process and martingale methods, network survival model; (6) Time Series Analysis: inference for stochastic processes, risk management, statistical finance.
Programme overview
Main Subject
Mathematics
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Research focus/expertise in the Department include: (1) Computational Statistics: Bayesian hierarchical models, empirical Bayes, large-scale data analysis, Markov chain Monte Carlo, statistical machine Learning; (2) Functional Data Analysis: Bayesian inverse problems in physical oceanography, oceanography, trajectory analysis in life course epidemiology ; (3) Inferential Statistics: efficient estimation for semiparametric models, empirical likelihood, knockoff statistics, model selection, non-standard asymptotic theory, post-selection inference; (4) Statistical Genetics Genomics Omics: analysis of whole-genome sequencing data, integrative analysis of multi-omics data; (5) Survival and Event History Analysis: competing risks models for HIV/AIDS data, counting process and martingale methods, network survival model; (6) Time Series Analysis: inference for stochastic processes, risk management, statistical finance.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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