| Year |
Citation |
Score |
| 2019 |
Evans RJ, Richardson TS. Smooth, identifiable supermodels of discrete DAG models with latent variables Bernoulli. 25: 848-876. DOI: 10.3150/17-Bej1005 |
0.602 |
|
| 2018 |
Shpitser I, Evans RJ, Richardson TS. Acyclic Linear SEMs Obey the Nested Markov Property. Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference On Uncertainty in Artificial Intelligence. 2018. PMID 30983907 |
0.592 |
|
| 2017 |
Wang L, Robins JM, Richardson TS. On falsification of the binary instrumental variable model. Biometrika. 104: 229-236. PMID 29505035 DOI: 10.1093/Biomet/Asw064 |
0.381 |
|
| 2017 |
Wang L, Zhou XH, Richardson TS. Identification and estimation of causal effects with outcomes truncated by death. Biometrika. 104: 597-612. PMID 29430035 DOI: 10.1093/Biomet/Asx034 |
0.344 |
|
| 2017 |
Wang L, Richardson T. On the concordant survivorship assumption. Statistics in Medicine. 36: 717-720. PMID 28052424 DOI: 10.1002/Sim.6946 |
0.329 |
|
| 2017 |
Wang L, Robins JM, Richardson TS. Erratum: On falsification of the binary instrumental variable model Biometrika. 104: e1-e1. DOI: 10.1093/Biomet/Asx011 |
0.404 |
|
| 2017 |
Richardson TS, Robins JM, Wang L. On Modeling and Estimation for the Relative Risk and Risk Difference Journal of the American Statistical Association. 112: 1121-1130. DOI: 10.1080/01621459.2016.1192546 |
0.391 |
|
| 2015 |
Huang JY, Gavin AR, Richardson TS, Rowhani-Rahbar A, Siscovick DS, Enquobahrie DA. Are Early-Life Socioeconomic Conditions Directly Related to Birth Outcomes? Grandmaternal Education, Grandchild Birth Weight, and Associated Bias Analyses. American Journal of Epidemiology. PMID 26283086 DOI: 10.1093/Aje/Kwv148 |
0.303 |
|
| 2014 |
Shpitser I, Evans RJ, Richardson TS, Robins JM. Introduction to Nested Markov Models Behaviormetrika. 41: 3-39. DOI: 10.2333/Bhmk.41.3 |
0.663 |
|
| 2014 |
Heckerman D, Meek C, Richardson TS. Variations on undirected graphical models and their relationships Kybernetika. 50: 363-377. DOI: 10.14736/Kyb-2014-3-0363 |
0.385 |
|
| 2014 |
Evans RJ, Richardson TS. Markovian acyclic directed mixed graphs for discrete data The Annals of Statistics. 42: 1452-1482. DOI: 10.1214/14-Aos1206 |
0.639 |
|
| 2013 |
Evans RJ, Richardson TS. Marginal log-linear parameters for graphical Markov models. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 75: 743-768. PMID 23997643 DOI: 10.1111/Rssb.12020 |
0.661 |
|
| 2013 |
Banerjee M, Richardson T. Exchangeable Bernoulli random variables and Bayes’ postulate Electronic Journal of Statistics. 7: 2193-2208. DOI: 10.1214/13-Ejs835 |
0.309 |
|
| 2013 |
Chelba C, Xu P, Pereira F, Richardson T. Large Scale Distributed Acoustic Modeling With Back-Off ${\rm N}$ -Grams Ieee Transactions On Audio, Speech, and Language Processing. 21: 1158-1169. DOI: 10.1109/Tasl.2013.2245649 |
0.355 |
|
| 2013 |
Shpitser I, Evans RJ, Richardson TS, Robins JM. Sparse nested Markov models with log-linear parameters Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 576-585. |
0.627 |
|
| 2012 |
VanderWeele TJ, Richardson TS. GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES. Annals of Statistics. 40: 2128-2161. PMID 25552780 DOI: 10.1214/12-Aos1019 |
0.326 |
|
| 2012 |
Colombo D, Maathuis MH, Kalisch M, Richardson TS. Learning high-dimensional directed acyclic graphs with latent and selection variables Annals of Statistics. 40: 294-321. DOI: 10.1214/11-Aos940 |
0.364 |
|
| 2012 |
Richardson TS, Evans RJ, Robins JM, Fienberg SE. Transparent Parametrizations of Models for Potential Outcomes Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0019 |
0.483 |
|
| 2011 |
Luna XD, Waernbaum I, Richardson TS. Covariate selection for the nonparametric estimation of an average treatment effect Biometrika. 98: 861-875. DOI: 10.1093/Biomet/Asr041 |
0.335 |
|
| 2010 |
Glynn AN, Richardson TS, Handcock MS. Resolving Contested Elections: The Limited Power of Post-Vote Vote-Choice Data. Journal of the American Statistical Association. 105: 84-91. PMID 26640307 DOI: 10.1198/Jasa.2009.Ap08640 |
0.306 |
|
| 2010 |
Chaudhuri S, Richardson T, Robins J, Zivot E. A NEW PROJECTION-TYPE SPLIT-SAMPLE SCORE TEST IN LINEAR INSTRUMENTAL VARIABLES REGRESSION Econometric Theory. 26: 1820-1837. DOI: 10.1017/S0266466609990806 |
0.327 |
|
| 2010 |
Evans RJ, Richardson TS. Maximum likelihood fitting of acyclic directed mixed graphs to binary data Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 177-184. |
0.401 |
|
| 2009 |
Moodie EE, Richardson TS. Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction]. Scandinavian Journal of Statistics, Theory and Applications. 37: 126-146. PMID 20526433 DOI: 10.1111/J.1467-9469.2009.00661.X |
0.624 |
|
| 2009 |
Ali A, Richardson TS, Spirtes P. Markov equivalence for ancestral graphs Annals of Statistics. 37: 2808-2837. DOI: 10.1214/08-Aos626 |
0.755 |
|
| 2009 |
Drton M, Eichler M, Richardson TS. Computing maximum likelihood estimates in recursive linear models with correlated errors Journal of Machine Learning Research. 10: 2329-2348. |
0.709 |
|
| 2009 |
Richardson TS. A factorization criterion for acyclic directed mixed graphs Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 462-470. |
0.377 |
|
| 2008 |
Glynn A, Wakefield J, Handcock MS, Richardson TS. Alleviating Linear Ecological Bias and Optimal Design with Sub-sample Data. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 171: 179-202. PMID 20052294 DOI: 10.1111/J.1467-985X.2007.00511.X |
0.319 |
|
| 2008 |
Drton M, Richardson TS. Binary models for marginal independence Journal of the Royal Statistical Society. Series B: Statistical Methodology. 70: 287-309. DOI: 10.1111/J.1467-9868.2007.00636.X |
0.743 |
|
| 2008 |
Drton M, Richardson TS. Graphical methods for efficient likelihood inference in gaussian covariance models Journal of Machine Learning Research. 9: 893-914. |
0.641 |
|
| 2007 |
Moodie EE, Richardson TS, Stephens DA. Demystifying optimal dynamic treatment regimes. Biometrics. 63: 447-55. PMID 17688497 DOI: 10.1111/J.1541-0420.2006.00686.X |
0.607 |
|
| 2007 |
Chaudhuri S, Drton M, Richardson TS. Estimation of a covariance matrix with zeros Biometrika. 94: 199-216. DOI: 10.1093/Biomet/Asm007 |
0.632 |
|
| 2006 |
Wegelin JA, Packer A, Richardson TS. Latent models for cross-covariance Journal of Multivariate Analysis. 97: 79-102. DOI: 10.1016/J.Jmva.2004.11.009 |
0.74 |
|
| 2004 |
Drton M, Richardson TS. Multimodality of the likelihood in the bivariate seemingly unrelated regressions model Biometrika. 91: 383-392. DOI: 10.1093/Biomet/91.2.383 |
0.707 |
|
| 2003 |
Banerjee M, Richardson T. On a Dualization of Graphical Gaussian Models: A Correction Note Scandinavian Journal of Statistics. 30: 817-820. DOI: 10.1111/1467-9469.00366 |
0.439 |
|
| 2003 |
RICHARDSON T. Markov Properties for Acyclic Directed Mixed Graphs Scandinavian Journal of Statistics. 30: 145-157. DOI: 10.1111/1467-9469.00323 |
0.312 |
|
| 2002 |
Richardson T, Spirtes P. Ancestral graph Markov models The Annals of Statistics. 30: 962-1030. DOI: 10.1214/Aos/1031689015 |
0.774 |
|
| 2002 |
Brutlag JD, Richardson TS. A block sampling approach to distinct value estimation Journal of Computational and Graphical Statistics. 11: 389-404. DOI: 10.1198/106186002760180572 |
0.301 |
|
| 2002 |
Lauritzen SL, Richardson TS. Chain graph models and their causal interpretations Journal of the Royal Statistical Society. Series B: Statistical Methodology. 64: 321-348. DOI: 10.1111/1467-9868.00340 |
0.42 |
|
| 1999 |
Ridgeway G, Richardson T, Madigan D. Statistics and Computing. 9: 150-152. DOI: 10.1023/A:1008815121360 |
0.701 |
|
| 1998 |
Schienes R, Spirtes P, Glymour C, Meek C, Richardson T. Reply to Comments. Multivariate Behavioral Research. 33: 165-180. PMID 26771759 DOI: 10.1207/S15327906Mbr3301_8 |
0.742 |
|
| 1998 |
Scheines R, Spirtes P, Glymour C, Meek C, Richardson T. The TETRAD Project: Constraint Based Aids to Causal Model Specification. Multivariate Behavioral Research. 33: 65-117. PMID 26771754 DOI: 10.1207/S15327906Mbr3301_3 |
0.758 |
|
| 1998 |
Spirtes P, Richardson T, Meek C, Scheines R, Glymour C. Using path diagrams as a structural equation modeling tool Sociological Methods and Research. 27: 182-225. DOI: 10.1177/0049124198027002003 |
0.767 |
|
| 1998 |
SPIRTES P, RICHARDSON T, MEEK C, SCHEINES R, GLYMOUR C. Using Path Diagrams as a Structural Equation Modeling Tool Sociological Methods & Research. 27: 182-225. DOI: 10.1177/0049124198027002003 |
0.742 |
|
| 1997 |
Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky JE, Meek C, Mitchell T, Richardson T, Spirtes P. An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine. 9: 107-38. PMID 9040894 DOI: 10.1016/S0933-3657(96)00367-3 |
0.742 |
|
| 1997 |
Richardson T. A characterization of Markov equivalence for directed cyclic graphs International Journal of Approximate Reasoning. 17: 107-162. DOI: 10.1016/S0888-613X(97)00020-0 |
0.347 |
|
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