Statistical Modelling
A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (Wikipedia).
If you're looking for a data scientist to work with on a research project or someone to discuss potential methodologies with for a research problem, then you search for the topic you need or alternatively use the A-Z button to search the full list of data scientists.
Optimisation, Machine learning, Bayesian inference, Statistical modelling, Frequentist inference
| Name | Expertise |
|---|---|
| Pallavi Banerjee | Statistical modelling, Administrative datasets |
| Federico Botta | Machine Learning, Network Analysis, Time Series Analysis, Statistical Modelling, Social Media, Data Science for Public Policy, Spatial Data Science |
| Peter Challenor | Statistical modelling, Emulation / uncertainty quantification |
| Saptarshi Das | Computational intelligence, Optimisation, Physical modelling, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference, High performance computing, Signal processing, Control Systems, Image Processing |
| Riccardo Di Clemente | Human Mobility, Computational Social Science, Network Theory, Physical modelling, Network analysis, Statistical modelling |
| Samuel Engle | Causality, Bayesian Inference, Statistical Modelling, Frequentist Inference, Decision Theory |
| Livio Fenga | Time Series Analysis, Statistical Modelling, Signal Processing, Misinformation |
| Eilis Hannon | Software Engineering, Statistical Modelling, Frequentist Inference, Bioinformatics |
| Cavaliere Giuseppe | Time Series Analysis, Statistical Modelling, Frequentist Inference |
| Christis Katsouris | Causality, Network Analysis, Statistical Modelling, Time Series Analysis |
| Mark Kelson | Causality, Statistical modelling, Machine Learning, Clinical trials, Frequentist inference |
| Sebastian Kripfganz | Causality, Software Engineering, Time Series Analysis, Statistical Modelling, Frequentist Inference |
| David Llewellyn | Causality, Machine Learning, Statistical Modelling, Clinical Trials, Precision Medicine, Population-based Clinical Datasets |
| Tj McKinley | Bayesian inference, Statistical modelling |
| Anna Mountford-Zimdars | Statistical modelling |
| Nitzan Peri-Rotem | Causality, Statistical modelling, Frequentist inference, Survival analysis |
| Chris Playford | Statistical modelling, Frequentist inference |
| David Richards | Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, Statistical Modelling |
| Stefan Siegert | Spatial statistics, Physical modelling, Software engineering, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference |
| David Stephenson | Environmental statistics, Forecast verification, Physical modelling, Time series analysis, Statistical modelling, Frequentist inference |
| Krasimira Tsaneva | Physical Modelling, Network Analysis, Statistical Modelling, Emulation/Uncertainty Quantification, Time Series Analysis. Experience with applications to Biology, Medicine and Healthcare |
| Danny Williamson | Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification |
