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