Professor Robin Evans

Dr Robin Evans

Associate Professor

Tutorial Fellow in Statistics, Jesus College

+44 (0)1865 272860 (Department)
+44 (0)1865 282859 (Direct)
evans at
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.

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

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.

Selected publications

R.J. Evans, Graphs for margins of Bayesian networks. Scandinavian Journal of Statistics, 43 (3), pp. 625-648, 2016.

R. Silva and R.J. Evans, Causal Inference through a Witness Protection Program. Journal of Machine Learning Research, 17 (56), pp. 1-53, 2016.

R.J. Evans and T.S. Richardson, Markovian acyclic directed mixed graphs for discrete data. Annals of Statistics, 42 (4), pp. 1452-1482, 2014.

R.J. Evans and T.S. Richardson, Marginal log-linear parameters for graphical Markov models. Journal
of the Royal Statistical Society, Series B
, 75 (4), pp. 743-768, 2013.

Personal homepage