Researcher

Professor Yanan Fan

My Expertise

Bayesian analysis, Markov chain, Monte Carlo methods, Approximate Bayesian computation, Mequential Monte Carlo methods, Model selection problems, Computational statistics, Statistical applications in ecology, Mark-Capture-Recovery analysis

Fields of Research (FoR)

Applied Statistics, Computation Theory and Mathematics not elsewhere classified, Numerical and Computational Mathematics

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Biography

I am an adjunct full Professor of Statistics at the school of Mathematics and statistics and a senior Principal research scientist at CSIRO's Data61, Australia's science agency. My research is focussed primarily on the development of Bayesian models and computational methodology to solve real world problems. My current interest include developing Bayesian semiparametric models; computational methods for large spatial data arising from medical...view more

I am an adjunct full Professor of Statistics at the school of Mathematics and statistics and a senior Principal research scientist at CSIRO's Data61, Australia's science agency. My research is focussed primarily on the development of Bayesian models and computational methodology to solve real world problems. My current interest include developing Bayesian semiparametric models; computational methods for large spatial data arising from medical images; approximate Bayesian inference methods and various applications of Bayesian methodology to real world problems, and more recently, developing methods to convert text into data to detect unconscious bias in languages.

 

RESEARCH

My research interests include:

  • Bayesian inference, Bayesian nonparametrics
  • Bayesian computation: Markov chain Monte Carlo, Approximate Bayesian computation
  • Quantile regression
  • Spatial modelling
  • Medical image analysis

 


My Research Supervision


Supervision keywords


Areas of supervision

- Bayesian inference

- Computational statistics and algorithms

- Bayesian quantile regression

- Applications in Medical image analyses, climate models, detection of gender/cultural bias

- Test to data analyses

 

 

 

 

 

 

 

 

 

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Location

School of Mathematics and Statistics
University of New South Wales
Sydney NSW 2052
The Red Centre
Room 2055