| El embeddings: Geometric construction of models for the description logic el++ M Kulmanov, W Liu-Wei, Y Yan, R Hoehndorf arXiv preprint arXiv:1902.10499, 2019 | 103 | 2019 |
| A stochastic generator of global monthly wind energy with Tukey g-and-h autoregressive processes J Jeong, Y Yan, S Castruccio, MG Genton Statistica Sinica 29 (3), 1105-1126, 2019 | 25 | 2019 |
| Non‐Gaussian autoregressive processes with Tukey ‐and‐h transformations Y Yan, MG Genton Environmetrics 30 (2), e2503, 2019 | 24 | 2019 |
| Multivariate transformed Gaussian processes Y Yan, J Jeong, MG Genton Japanese Journal of Statistics and Data Science 3 (1), 129-152, 2020 | 14 | 2020 |
| The Tukey g-and-h distribution Y Yan, MG Genton Wiley, 2019 | 14 | 2019 |
| Gaussian likelihood inference on data from trans‐Gaussian random fields with Matérn covariance function Y Yan, MG Genton Environmetrics 29 (5-6), e2458, 2018 | 13 | 2018 |
| Spatiotemporal modeling of bycatch data: methods and a practical guide through a case study in a Canadian Arctic fishery Y Yan, E Cantoni, C Field, M Treble, JM Flemming Canadian Journal of Fisheries and Aquatic Sciences 79 (1), 148-158, 2022 | 8 | 2022 |
| Vector autoregressive models with spatially structured coefficients for time series on a spatial grid Y Yan, HC Huang, MG Genton Journal of Agricultural, Biological and Environmental Statistics 26 (3), 387-408, 2021 | 5 | 2021 |
| Spatiotemporal modeling of mature‐at‐length data using a sliding window approach Y Yan, E Cantoni, C Field, M Treble, J Mills Flemming Environmetrics 34 (2), e2759, 2023 | 3 | 2023 |
| A spatial analysis of longline survey data for improved indices of Atlantic halibut abundance J Luo, RR McDonald, BF Wringe, CE den Heyer, B Smith, Y Yan, ... ICES Journal of Marine Science 79 (6), 1954-1964, 2022 | 2 | 2022 |
| Spatiotemporal modelling of Greenland halibut maturation across the Northwest Atlantic Y Yan, E Cantoni, C Field, M Treble, HP Benoît, RM Rideout, ... ICES Journal of Marine Science 80 (6), 1787-1801, 2023 | 1 | 2023 |
| Spatio-temporal data analysis by transformed Gaussian processes Y Yan | 1 | 2018 |
| Discussion of “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert Y Yan, MG Genton Statistical methods & applications 24, 245-251, 2015 | 1 | 2015 |
| bio-ontology-research-group/el-embeddings: Embeddings for ontologies in the Description Logic EL++ M Kulmanov, W Liu-Wei, Y Yan, R Hoehndorf Github, 2019 | | 2019 |
| Dataset for: Non-Gaussian Autoregressive Processes with Tukey g-and-h Transformations Y Yan, MG Genton figshare, 2018 | | 2018 |
| A Stochastic Generator of Global Monthly Wind Energy J Jeong, Y Yan, S Castruccio, MG Genton | | |
| INFLUENCE RANKING BASED ON TILTING WITH APPLICATION TO CLIMATE DATA Y Yan, MG Genton | | |
Marc G GentonAl-Khawarizmi Distinguished Professor of Statistics, KAUSTVerified email at kaust.edu.sa
