| A linear-time algorithm for Gaussian and non-Gaussian trait evolution models LST Ho, C Ané Systematic biology 63 (3), 397-408, 2014 | 953 | 2014 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 328* | 2022 |
| Intrinsic inference difficulties for trait evolution with Ornstein‐Uhlenbeck models LST Ho, C Ané Methods in Ecology and Evolution 5 (11), 1133-1146, 2014 | 196 | 2014 |
| The united states covid-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 109 | 2022 |
| Asymptotic theory with hierarchical autocorrelation: Ornstein–Uhlenbeck tree models LST Ho, C Ané The Annals of Statistics 41 (2), 957-981, 2013 | 67 | 2013 |
| Mel-frequency cepstral coefficients for eye movement identification NV Cuong, V Dinh, LST Ho 2012 IEEE 24th international conference on tools with artificial …, 2012 | 67 | 2012 |
| Birth/birth-death processes and their computable transition probabilities with biological applications LST Ho, J Xu, FW Crawford, VN Minin, MA Suchard Journal of mathematical biology 76, 911-944, 2018 | 66 | 2018 |
| Consistent feature selection for analytic deep neural networks VC Dinh, LS Ho Advances in Neural Information Processing Systems 33, 2020 | 51 | 2020 |
| Package ‘phylolm’ LST Ho, C Ane, R Lachlan, K Tarpinian, R Feldman, Q Yu, W van der Bijl, ... See http://cran. r-project. org/web/packages/phylolm/index. html (accessed …, 2016 | 50 | 2016 |
| A Relaxed Directional Random Walk Model for Phylogenetic Trait Evolution MS Gill, LST Ho, G Baele, P Lemey, MA Suchard Systematic biology 66 (3), 299-319, 2017 | 39 | 2017 |
| Computational methods for birth‐death processes FW Crawford, LST Ho, MA Suchard Wiley Interdisciplinary Reviews: Computational Statistics 10 (2), e1423, 2018 | 36 | 2018 |
| Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease LST Ho, FW Crawford, MA Suchard The Annals of Applied Statistics 12 (3), 1993-2021, 2018 | 31 | 2018 |
| Inferring phenotypic trait evolution on large trees with many incomplete measurements G Hassler, MR Tolkoff, WL Allen, LST Ho, P Lemey, MA Suchard Journal of the American Statistical Association 117 (538), 678-692, 2022 | 20 | 2022 |
| Efficient Bayesian inference of general Gaussian models on large phylogenetic trees P Bastide, LST Ho, G Baele, P Lemey, MA Suchard The Annals of Applied Statistics 15 (2), 971-997, 2021 | 19 | 2021 |
| Bounds on the Expected Size of the Maximum Agreement Subtree DI Bernstein, LST Ho, C Long, M Steel, KS John, S Sullivant SIAM Journal on Discrete Mathematics 29 (4), 2065-2074, 2015 | 19 | 2015 |
| Learning from non-iid data: Fast rates for the one-vs-all multiclass plug-in classifiers V Dinh, LST Ho, NV Cuong, D Nguyen, BT Nguyen Theory and Applications of Models of Computation: 12th Annual Conference …, 2015 | 19 | 2015 |
| Recovery guarantees for polynomial coefficients from weakly dependent data with outliers LST Ho, H Schaeffer, G Tran, R Ward Journal of Approximation Theory 259, 105472, 2020 | 18* | 2020 |
| Fast learning rates with heavy-tailed losses VC Dinh, LS Ho, B Nguyen, D Nguyen Advances in Neural Information Processing Systems, 505-513, 2016 | 18 | 2016 |
| Phase transition on the convergence rate of parameter estimation under an Ornstein–Uhlenbeck diffusion on a tree C Ané, LST Ho, S Roch Journal of Mathematical Biology 74, 355-385, 2017 | 17 | 2017 |
| Statistical evidence for common ancestry: Application to primates DA Baum, C Ané, B Larget, C Solís‐Lemus, LST Ho, P Boone, ... Evolution, 2016 | 12 | 2016 |
Vu DinhUniversity of Delaware在 udel.edu 的电子邮件经过验证
