Lam Si Tung Ho
Lam Si Tung Ho
Assistant Professor, Department of Mathematics and Statistics, Dalhousie University
Verified email at - Homepage
Cited by
Cited by
A linear-time algorithm for Gaussian and non-Gaussian trait evolution models
LST Ho, C Ané
Systematic biology 63 (3), 397-408, 2014
Intrinsic inference difficulties for trait evolution with Ornstein‐Uhlenbeck models
LST Ho, C Ané
Methods in Ecology and Evolution 5 (11), 1133-1146, 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
Asymptotic theory with hierarchical autocorrelation: Ornstein–Uhlenbeck tree models
LST Ho, C Ané
The Annals of Statistics 41 (2), 957-981, 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
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 (4), 911-944, 2018
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
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
Computational methods for birth‐death processes
FW Crawford, LST Ho, MA Suchard
Wiley Interdisciplinary Reviews: Computational Statistics 10 (2), e1423, 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
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 (1), 355-385, 2017
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
Fast learning rates with heavy-tailed losses
VC Dinh, LS Ho, B Nguyen, D Nguyen
Advances in Neural Information Processing Systems, 505-513, 2016
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
International Conference on Theory and Applications of Models of Computation …, 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
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data
NV Cuong, LST Ho, V Dinh
International Conference on Algorithmic Learning Theory, 264-278, 2013
Consistent feature selection for analytic deep neural networks
VC Dinh, LS Ho
Advances in Neural Information Processing Systems 33, 2020
Statistical evidence for common ancestry: Application to primates
DA Baum, C Ané, B Larget, C Solís‐Lemus, LST Ho, P Boone, ...
Evolution, 2016
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, 1-15, 2020
Consistency and convergence rate of phylogenetic inference via regularization
V Dinh, LST Ho, MA Suchard, FA Matsen IV
The Annals of Statistics 46 (4), 1481-1512, 2018
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