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Robin Evans
Robin Evans
Professor of Statistical Science, University of Oxford
Подтвержден адрес электронной почты в домене stats.ox.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
Nested Markov properties for acyclic directed mixed graphs
TS Richardson, RJ Evans, JM Robins, I Shpitser
The Annals of Statistics 51 (1), 334-361, 2023
1212023
Graphs for margins of Bayesian networks
RJ Evans
Scandinavian Journal of Statistics 43 (3), 625-648, 2016
902016
Introduction to nested Markov models
I Shpitser, RJ Evans, TS Richardson, JM Robins
Behaviormetrika 41, 3-39, 2014
742014
Markovian acyclic directed mixed graphs for discrete data
RJ Evans, TS Richardson
732014
Margins of discrete Bayesian networks
RJ Evans
712018
Transparent parameterizations of models for potential outcomes
TS Richardson, RJ Evans, JM Robins
Bayesian statistics 9, 569-610, 2011
642011
Dissociation in relation to other mental health conditions: An exploration using network analysis
E Černis, R Evans, A Ehlers, D Freeman
Journal of Psychiatric Research 136, 460-467, 2021
632021
Graphical methods for inequality constraints in marginalized DAGs
RJ Evans
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
532012
Adolescent paranoia: Prevalence, structure, and causal mechanisms
JC Bird, R Evans, F Waite, BS Loe, D Freeman
Schizophrenia bulletin 45 (5), 1134-1142, 2019
512019
Marginal log-linear parameters for graphical Markov models
RJ Evans, TS Richardson
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013
412013
Distributional equivalence and structure learning for bow-free acyclic path diagrams
C Nowzohour, MH Maathuis, RJ Evans, P Bühlmann
352017
Two algorithms for fitting constrained marginal models
RJ Evans, A Forcina
Computational statistics & Data analysis 66, 1-7, 2013
342013
Smooth, identifiable supermodels of discrete DAG models with latent variables
RJ Evans, TS Richardson
292019
Maximum likelihood fitting of acyclic directed mixed graphs to binary data
RJ Evans, TS Richardson
arXiv preprint arXiv:1203.3479, 2010
282010
Parameter and structure learning in nested Markov models
I Shpitser, TS Richardson, JM Robins, R Evans
arXiv preprint arXiv:1207.5058, 2012
252012
Acyclic linear SEMs obey the nested Markov property
I Shpitser, RJ Evans, TS Richardson
Uncertainty in artificial intelligence: proceedings of the... conference …, 2018
192018
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
182017
Causal inference through a witness protection program
R Silva, R Evans
Journal of Machine Learning Research 17 (56), 1-53, 2016
182016
Model selection and local geometry
RJ Evans
The Annals of Statistics 48 (6), 3513-3544, 2020
162020
Faster algorithms for Markov equivalence
Z Hu, R Evans
Conference on Uncertainty in Artificial Intelligence, 739-748, 2020
162020
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Статьи 1–20