Robin Evans
Robin Evans
Associate Professor of Statistics, University of Oxford
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Nested Markov properties for acyclic directed mixed graphs
TS Richardson, RJ Evans, JM Robins, I Shpitser
arXiv preprint arXiv:1701.06686, 2017
622017
Transparent parameterizations of models for potential outcomes
TS Richardson, RJ Evans, JM Robins
Bayesian Statistics 9, 569-610, 2011
512011
Markovian acyclic directed mixed graphs for discrete data
RJ Evans, TS Richardson
The Annals of Statistics, 1452-1482, 2014
422014
Introduction to nested Markov models
I Shpitser, RJ Evans, TS Richardson, JM Robins
Behaviormetrika 41 (1), 3-39, 2014
402014
Margins of discrete Bayesian networks
RJ Evans
Annals of Statistics 46 (6A), 2623-2656, 2018
362018
Graphs for margins of Bayesian networks
RJ Evans
Scandinavian Journal of Statistics 43 (3), 625-648, 2016
362016
Marginal log-linear parameters for graphical Markov models
RJ Evans, TS Richardson
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2013
352013
Graphical methods for inequality constraints in marginalized DAGs
RJ Evans
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
342012
Two algorithms for fitting constrained marginal models
RJ Evans, A Forcina
Computational statistics & Data analysis 66, 1-7, 2013
292013
Maximum likelihood fitting of acyclic directed mixed graphs to binary data
RJ Evans, TS Richardson
arXiv preprint arXiv:1203.3479, 2010
252010
Parameter and structure learning in nested Markov models
I Shpitser, TS Richardson, JM Robins, R Evans
arXiv preprint arXiv:1207.5058, 2012
192012
Smooth, identifiable supermodels of discrete DAG models with latent variables
RJ Evans, TS Richardson
Bernoulli 25 (2), 848-876, 2019
11*2019
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
112017
Causal inference through a witness protection program
R Silva, R Evans
Journal of Machine Learning Research 17, 2016
112016
Adolescent paranoia: prevalence, structure, and causal mechanisms
JC Bird, R Evans, F Waite, BS Loe, D Freeman
Schizophrenia bulletin 45 (5), 1134-1142, 2019
102019
Sparse nested Markov models with log-linear parameters
I Shpitser, RJ Evans, TS Richardson, JM Robins
arXiv preprint arXiv:1309.6863, 2013
102013
One-component regular variation and graphical modeling of extremes
A Hitz, R Evans
Journal of Applied Probability 53 (3), 733-746, 2016
92016
Model selection and local geometry
RJ Evans
Annals of Statistics 48 (6), 3513-3544, 2020
82020
Distributional equivalence and structure learning for bow-free acyclic path diagrams
C Nowzohour, MH Maathuis, RJ Evans, P Bühlmann
Electronic Journal of Statistics 11 (2), 5342-5374, 2017
72017
Recovering from Selection Bias using Marginal Structure in Discrete Models.
RJ Evans, V Didelez
ACI@ UAI, 46-55, 2015
72015
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