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
362017
Marginal log‐linear parameters for graphical Markov models
RJ Evans, TS Richardson
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
342013
Markovian acyclic directed mixed graphs for discrete data
RJ Evans, TS Richardson
The Annals of Statistics 42 (4), 1452-1482, 2014
282014
Introduction to nested Markov models
I Shpitser, RJ Evans, TS Richardson, JM Robins
Behaviormetrika 41 (1), 3-39, 2014
262014
Two algorithms for fitting constrained marginal models
RJ Evans, A Forcina
Computational statistics & Data analysis 66, 1-7, 2013
242013
Graphical methods for inequality constraints in marginalized DAGs
RJ Evans
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
242012
Graphs for margins of Bayesian networks
RJ Evans
Scandinavian Journal of Statistics 43 (3), 625-648, 2016
232016
Maximum likelihood fitting of acyclic directed mixed graphs to binary data
RJ Evans, TS Richardson
arXiv preprint arXiv:1203.3479, 2012
232012
Margins of discrete Bayesian networks
RJ Evans
The Annals of Statistics 46 (6A), 2623-2656, 2018
162018
Parameter and structure learning in nested Markov models
I Shpitser, TS Richardson, JM Robins, R Evans
arXiv preprint arXiv:1207.5058, 2012
152012
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
One-component regular variation and graphical modeling of extremes
A Hitz, R Evans
Journal of Applied Probability 53 (3), 733-746, 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
The Journal of Machine Learning Research 17 (1), 1949-2001, 2016
52016
Causal inference through a witness protection program
R Silva, R Evans
Advances in Neural Information Processing Systems, 298-306, 2014
52014
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
42017
Parametrizations of discrete graphical models
RJ Evans
University of Washington, 2011
42011
Model selection and local geometry
RJ Evans
arXiv preprint arXiv:1801.08364, 2018
32018
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Articles 1–20