Statistical data analytics

Our team has experience in developing, implementing, and applying advanced statistical and computational techniques for data analysis.

Expertise and research interests include

  • Time series, forecasting and power spectral density estimation
  • Generalised regression for time series analysis with VGLMs/VGAMs
  • Statistical modelling with VGLMs/VGAMs
  • Hierarchical and dynamic regression modelling for longitudinal data
  • Computational statistics (R, Matlab, Python, SAS, etc.)
  • Bayesian econometrics and statistics
  • Phylogenetic inference
  • Gravitational wave data analysis
  • Main applications: health, ecology, economics, finance and sports

Core members

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