Robin J. Evans, Ph.D.

2011 University of Washington, Seattle, Seattle, WA 
"Robin Evans"


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Thomas S. Richardson grad student 2011 University of Washington
 (Parametrizations of Discrete Graphical Models.)
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Shpitser I, Evans RJ, Richardson TS. (2018) Acyclic Linear SEMs Obey the Nested Markov Property. Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference On Uncertainty in Artificial Intelligence. 2018
Eltom H, Kandeepan S, Moran B, et al. (2016) Spectrum occupancy prediction using a Hidden Markov Model 2015, 9th International Conference On Signal Processing and Communication Systems, Icspcs 2015 - Proceedings
Evans RJ. (2015) Smoothness of marginal log-linear parameterizations Electronic Journal of Statistics. 9: 475-491
Evans RJ, Didelez V. (2015) Recovering from selection bias using marginal structure in discrete models Ceur Workshop Proceedings. 1504: 46-55
Evans RJ, Richardson TS. (2013) Marginal log-linear parameters for graphical Markov models. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 75: 743-768
Evans RJ, Forcina A. (2013) Two algorithms for fitting constrained marginal models Computational Statistics and Data Analysis. 66: 1-7
Shpitser I, Evans RJ, Richardson TS, et al. (2013) Sparse nested Markov models with log-linear parameters Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 576-585
Richardson TS, Evans RJ, Robins JM, et al. (2012) Transparent Parametrizations of Models for Potential Outcomes Bayesian Statistics 9
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