## Breadcrumb

# Professor Robin Evans

Professor of Statistical Science, Deputy Head of Department

# Biographical Sketch

I received my PhD in Statistics from the University of Washington in 2011, and was a Postdoctoral Research Fellow at the Statistical Laboratory in Cambridge from 2011 to 2013.

# Research Interests

My research is in understanding how multivariate statistical models – such as Bayesian network models, marginal models and latent variable models – can be used to learn about the world around us. In addition, I am interested in how these methods can be applied to epidemiology, medicine and the social sciences.

This work has led in various directions: finding implications of models that can be tested in data, and showing that no further constraints exist; determining whether quantities of scientific interest are identifiable; understanding when marginal models can be properly specified, simulated from, and fitted; and understanding when efficient model selection is possible. A particular area of interest recently has been simulating from marginal causal models, and applications to combining evidence from different types of study.

I am also interested in the mathematical and statistical properties of more general latent variable models, conditional independence, and model parametrizations.

# Publications

**PWSHAP: a path-wise explanation model for targeted variables**”, in

*Proceedings of the 40th International Conference on Machine Learning*. Proceedings of Machine Learning Research, pp. 34054–34089.

**Selection, ignorability and challenges with causal fairness**”, in

*Proceedings of the First Conference on Causal Learning and Reasoning*. PMLR, pp. 275–289.

**Dependency in DAG models with hidden variables**”, in

*Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence*. Journal of Machine Learning Research, pp. 813–822.

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Contact Details

College affiliation: Tutorial Fellow at Jesus College

Email: evans@stats.ox.ac.uk

Office: 1.01