Lam Si Tung Ho
Lam Si Tung Ho
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
5002014
Intrinsic inference difficulties for trait evolution with Ornstein‐Uhlenbeck models
LST Ho, C Ané
Methods in Ecology and Evolution 5 (11), 1133-1146, 2014
1272014
Mel-frequency cepstral coefficients for eye movement identification
NV Cuong, V Dinh, LST Ho
2012 ieee 24th international conference on tools with artificial …, 2012
442012
Asymptotic theory with hierarchical autocorrelation: Ornstein–Uhlenbeck tree models
LST Ho, C Ané
The Annals of Statistics 41 (2), 957-981, 2013
382013
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
30*2018
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
262017
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
232016
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
142017
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
132015
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
132015
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
122018
Computational methods for birth‐death processes
FW Crawford, LST Ho, MA Suchard
Wiley Interdisciplinary Reviews: Computational Statistics 10 (2), e1423, 2018
112018
Fast learning rates with heavy-tailed losses
VC Dinh, LS Ho, B Nguyen, D Nguyen
Advances in Neural Information Processing Systems, 505-513, 2016
112016
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
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
92018
Statistical evidence for common ancestry: Application to primates
DA Baum, C Ané, B Larget, C Solís‐Lemus, LST Ho, P Boone, ...
Evolution, 2016
82016
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
6*2020
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
62020
Consistent feature selection for analytic deep neural networks
VC Dinh, LS Ho
Advances in Neural Information Processing Systems 33, 2020
62020
An active learning framework for set inversion
BT Nguyen, DM Nguyen, LST Ho, V Dinh
Knowledge-Based Systems 185, 104917, 2019
42019
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Articles 1–20