樱花动漫

Institute for Data Science and Artificial Intelligence

Causality

Causality is an area concerned with the problem of finding and quantifying the relationship between cause and effect.

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.

 

Member Research interests
Causality, Emulation / Uncertainty Quantification, Clinical Trials, AI for Humans and Health
 
 
Causality, Bayesian Inference Statistical Modelling Frequentist Inference, Decision Theory

Causality, Game theory, Machine learning, Clinical trials, Time series analysis

Dr 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 and Clinical datasets

 
Causality, Statistical modelling, Frequentist inference, Survival analysis
Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, Statistical Modelling
Causality, Machine Learning
Causality, Machine Learning