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Dr Keming Yu

Research area(s)

Based on mathematical theory and data analysis methods, my research aims to explore statistical methods, models and optimal algorithms to deal with challenges in:

  1. New regression  models and methods, including quantile regression,  for Financial Econometrics and Business.
  2.  Robust algorithms for Machine Learnign and Deep Learning.
  3.  Statistical analysis and Machine learning for modelling loneliness and social isolation in Gerontology.
  4.  New distributional/regression methods for the analysis of Wellbeing, health and biomedical scoences, such as obesity.
  5.  Statistics/Machine learning methods for risk assessment in engineering, such as rail truck failure, cable fault, pipeline corrosion and wind turbine.
  6.  Statistical theory, method, including Bayesian analysis,  for the analysis of big data and small data.

Research grants and projects

Research Projects


Resaerch Methods
Funder: National Institute for Health Research
Duration: -

Project details

Current Grants as PI:

The UK Office for National Statistics (ONS) awarded funds in its first ever open call for research in economic measurement to him for a project entitled New regression models for the analysis of wellbeing and income distribution (  (04/2019---03/2020), £5000.00.

EPSRC Case Studentship: Data Analytics for Risk Based Decision Making in Asset Integrity Management (01/01/2018—30/09/2020), £80,670.

National Institute for Health Research (NIHR): NIHR Research Methods Opportunity Funding Scheme £70,517 (2010—2011) and £68,883 (2014-2015).

NSIRC scholarship funded by TWI (Cambridge) for supporting  three  PhD study on Statistical analysis and modelling of corrosion data:  £98,890 (2014—2020).