Robin Evans
Robin Evans
Associate Professor of Statistics, University of Oxford
Verified email at stats.ox.ac.uk - Homepage
TitleCited byYear
Transparent parameterizations of models for potential outcomes
TS Richardson, RJ Evans, JM Robins
Bayesian Statistics 9, 569-610, 2011
422011
Nested Markov properties for acyclic directed mixed graphs
TS Richardson, RJ Evans, JM Robins, I Shpitser
arXiv preprint arXiv:1701.06686, 2017
402017
Marginal log‐linear parameters for graphical Markov models
RJ Evans, TS Richardson
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
352013
Markovian acyclic directed mixed graphs for discrete data
RJ Evans, TS Richardson
The Annals of Statistics, 1452-1482, 2014
312014
Introduction to nested Markov models
I Shpitser, RJ Evans, TS Richardson, JM Robins
Behaviormetrika 41 (1), 3-39, 2014
292014
Graphical methods for inequality constraints in marginalized DAGs
RJ Evans
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
272012
Graphs for margins of Bayesian networks
RJ Evans
Scandinavian Journal of Statistics 43 (3), 625-648, 2016
262016
Two algorithms for fitting constrained marginal models
RJ Evans, A Forcina
Computational statistics & Data analysis 66, 1-7, 2013
252013
Maximum likelihood fitting of acyclic directed mixed graphs to binary data
RJ Evans, TS Richardson
arXiv preprint arXiv:1203.3479, 2010
242010
Margins of discrete Bayesian networks
RJ Evans
The Annals of Statistics 46 (6A), 2623-2656, 2018
202018
Parameter and structure learning in nested Markov models
I Shpitser, TS Richardson, JM Robins, R Evans
arXiv preprint arXiv:1207.5058, 2012
172012
Sparse nested Markov models with log-linear parameters
I Shpitser, RJ Evans, TS Richardson, JM Robins
arXiv preprint arXiv:1309.6863, 2013
102013
Recovering from selection bias using marginal structure in discrete models
RJ Evans, V Didelez
Proceedings of the UAI 2015 Conference on Advances in Causal Inference …, 2015
72015
Maximum likelihood estimation of the latent class model through model boundary decomposition
ES Allman, HB Cervantes, R Evans, S Hoşten, K Kubjas, D Lemke, ...
arXiv preprint arXiv:1710.01696, 2017
62017
One-component regular variation and graphical modeling of extremes
A Hitz, R Evans
Journal of Applied Probability 53 (3), 733-746, 2016
62016
Causal inference through a witness protection program
R Silva, R Evans
The Journal of Machine Learning Research 17 (1), 1949-2001, 2016
62016
Smooth, identifiable supermodels of discrete DAG models with latent variables
RJ Evans, TS Richardson
arXiv preprint arXiv:1511.06813, 2015
6*2015
Causal inference through a witness protection program
R Silva, R Evans
Advances in Neural Information Processing Systems, 298-306, 2014
62014
Model selection and local geometry
RJ Evans
arXiv preprint arXiv:1801.08364, 2018
42018
Parametrizations of discrete graphical models
RJ Evans
University of Washington, 2011
42011
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Articles 1–20