Items where Author is "Kuipers, Jack"
Jump to: 2022 | 31 August 2021 | 23 August 2021 | 26 April 2021 | 23 January 2021 | 2021 | 2018 | 2017 | 2015 | 2014 Number of items: 13. 2022Suter, Polina and Dazert, Eva and Kuipers, Jack and Ng, Charlotte K. Y. and Boldanova, Tuyana and Hall, Michael N. and Heim, Markus H. and Beerenwinkel, Niko. (2022) Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model. PLoS computational biology, 18 (9). e1009767. 31 August 2021Luo, Xiang Ge and Moffa, Giusi and Kuipers, Jack. (2021) Learning Bayesian Networks from Ordinal Data. 23 August 2021Rios, Felix L. and Moffa, Giusi and Kuipers, Jack. (2021) Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models. 26 April 2021Kuipers, Jack and Moffa, Giusi. (2021) The Variance of Causal Effect Estimators for Binary V-structures. 23 January 2021Kuipers, Jack and Suter, Polina and Moffa, Giusi. (2021) Efficient Sampling and Structure Learning of Bayesian Networks. 2021Ge Luo, Xiang and Moffa, Giusi and Kuipers, Jack. (2021) Learning Bayesian Networks from Ordinal Data. Journal of Machine Learning Research, 22 (266). pp. 1-44. 2018Srivatsa, Sumana and Kuipers, Jack and Schmich, Fabian and Eicher, Simone and Emmenlauer, Mario and Dehio, Christoph and Beerenwinkel, Niko. (2018) Improved pathway reconstruction from RNA interference screens by exploiting off-target effects. Bioinformatics, 34 (13). i519-i527. Kuipers, Jack and Thurnherr, Thomas and Moffa, Giusi and Suter, Polina and Behr, Jonas and Goosen, Ryan and Christofori, Gerhard and Beerenwinkel, Niko. (2018) Mutational Interactions Define Novel Cancer Subgroups. Nature Communications, 9. p. 4353. 2017Kuipers, Jack and Moffa, Giusi. (2017) Partition MCMC for Inference on Acyclic Digraphs. Journal of the American Statistical Association, 112 (417). pp. 282-299. Moffa, Giusi and Catone, Gennaro and Kuipers, Jack and Kuipers, Elizabeth and Freeman, Daniel and Marwaha, Steven and Lennox, Belinda R. and Broome, Matthew R. and Bebbington, Paul. (2017) Using Directed Acyclic Graphs in Epidemiological Research in Psychosis: An Analysis of the Role of Bullying in Psychosis. Schizophrenia Bulletin, 43 (6). pp. 1273-1279. 2015Kuipers, Jack and Moffa, Giusi. (2015) Uniform Random Generation of Large Acyclic Digraphs. Statistics and Computing, 25. pp. 227-242. 2014Kuipers, Jack and Moffa, Giusi and Heckerman, David. (2014) Addendum on the Scoring of Gaussian Directed Acyclic Graphical Models. The Annals of Statistics, 42 (4). pp. 1689-1691. Moffa, Giusi and Kuipers, Jack. (2014) Sequential Monte Carlo EM for Multivariate Probit Models. Computational Statistics & Data Analysis, 72. pp. 252-272. |