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Lam Si Tung Ho
Lam Si Tung Ho
Associate Professor, Department of Mathematics and Statistics, Dalhousie University
Verified email at dal.ca - Homepage
Title
Cited by
Cited by
Year
A linear-time algorithm for Gaussian and non-Gaussian trait evolution models
LST Ho, C Ané
Systematic biology 63 (3), 397-408, 2014
5922014
Intrinsic inference difficulties for trait evolution with Ornstein‐Uhlenbeck models
LST Ho, C Ané
Methods in Ecology and Evolution 5 (11), 1133-1146, 2014
1482014
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
73*2022
Mel-frequency cepstral coefficients for eye movement identification
NV Cuong, V Dinh, LST Ho
2012 ieee 24th international conference on tools with artificial …, 2012
492012
Asymptotic theory with hierarchical autocorrelation: Ornstein–Uhlenbeck tree models
LST Ho, C Ané
The Annals of Statistics 41 (2), 957-981, 2013
482013
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
42*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
302016
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
282017
Computational methods for birth‐death processes
FW Crawford, LST Ho, MA Suchard
Wiley Interdisciplinary Reviews: Computational Statistics 10 (2), e1423, 2018
172018
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
162018
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
162017
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
152015
Fast learning rates with heavy-tailed losses
VC Dinh, LS Ho, B Nguyen, D Nguyen
Advances in Neural Information Processing Systems, 505-513, 2016
142016
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
142015
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
11*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
112013
Consistent feature selection for analytic deep neural networks
VC Dinh, LS Ho
Advances in Neural Information Processing Systems 33, 2020
102020
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
92022
Statistical evidence for common ancestry: Application to primates
DA Baum, C Ané, B Larget, C Solís‐Lemus, LST Ho, P Boone, ...
Evolution, 2016
92016
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
72018
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