樱花动漫

Institute for Data Science and Artificial Intelligence

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.

 

Name  Expertise 
Pallavi Banerjee Statistical modelling, Administrative datasets
Machine Learning, Network Analysis, Time Series Analysis, Statistical Modelling, Social Media, Data Science for Public Policy, Spatial Data Science
Statistical modelling, Emulation / uncertainty quantification
Optimisation, Machine learning, Bayesian inference, Statistical modelling, Frequentist inference
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
Causality, Bayesian Inference, Statistical Modelling, Frequentist Inference, Decision Theory
Jawad Fayaz Physical Modelling, Machine Learning, Network Analysis, Time Series Analysis, Statistical Modelling, Computation, Environment and Society
Time Series Analysis, Statistical Modelling, Signal Processing, Misinformation
Software Engineering, Statistical Modelling, Frequentist Inference, Bioinformatics
Time Series Analysis, Statistical Modelling, Frequentist Inference
Christis Katsouris Causality, Network Analysis, Statistical Modelling, Time Series Analysis
Causality, Statistical modelling, Machine Learning, Clinical trials, Frequentist inference
Causality, Software Engineering, Time Series Analysis, Statistical Modelling, Frequentist Inference
Causality, Machine Learning, Statistical Modelling, Clinical Trials, Precision Medicine, Population-based Clinical Datasets
Bayesian inference, Statistical modelling
Statistical modelling
Causality, Statistical modelling, Frequentist inference, Survival analysis
Statistical modelling, Frequentist inference
   
Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, Statistical Modelling
Spatial statistics, Physical modelling, Software engineering, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference
Environmental statistics, Forecast verification, Physical modelling, Time series analysis, Statistical modelling, Frequentist inference
Physical Modelling, Network Analysis, Statistical Modelling, Emulation/Uncertainty Quantification, Time Series Analysis. Experience with applications to Biology, Medicine and Healthcare
Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification