Kean Ming Tan
Cited by
Cited by
Learning graphical models with hubs
KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten
arXiv preprint arXiv:1402.7349, 2014
The fitness consequences of aneuploidy are driven by condition-dependent gene effects
AB Sunshine, C Payen, GT Ong, I Liachko, KM Tan, MJ Dunham
PLoS Biol 13 (5), e1002155, 2015
Clinical trial of vinblastine in dogs with transitional cell carcinoma of the urinary bladder
EJ Arnold, MO Childress, LM Fourez, KM Tan, JC Stewart, PL Bonney, ...
Journal of Veterinary Internal Medicine 25 (6), 1385-1390, 2011
Metronomic administration of chlorambucil for treatment of dogs with urinary bladder transitional cell carcinoma
DR Schrempp, MO Childress, JC Stewart, TN Leach, KM Tan, AH Abbo, ...
Journal of the American Veterinary Medical Association 242 (11), 1534-1538, 2013
Randomized trial of cisplatin versus firocoxib versus cisplatin/firocoxib in dogs with transitional cell carcinoma of the urinary bladder
DW Knapp, CJ Henry, WR Widmer, KM Tan, GE Moore, JA Ramos‐Vara, ...
Journal of Veterinary Internal Medicine 27 (1), 126-133, 2013
Statistical Properties of Convex Clustering
KM Tan, D Witten
Electronic Journal of Statistics 9 (2), 2324-2347, 2015
The cluster graphical lasso for improved estimation of Gaussian graphical models
KM Tan, D Witten, A Shojaie
Computational statistics & data analysis 85, 23-36, 2015
Sparse biclustering of transposable data
KM Tan, DM Witten
Journal of Computational and Graphical Statistics 23 (4), 985-1008, 2014
Propagation of information along the cortical hierarchy as a function of attention while reading and listening to stories
M Regev, E Simony, K Lee, KM Tan, J Chen, U Hasson
Cerebral Cortex 29 (10), 4017-4034, 2019
Sparse generalized eigenvalue problem: Optimal statistical rates via truncated rayleigh flow
KM Tan, Z Wang, H Liu, T Zhang
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
Laplace approximation in high-dimensional Bayesian regression
RF Barber, M Drton, KM Tan
Statistical Analysis for High-Dimensional Data, 15-36, 2016
A convex formulation for high-dimensional sparse sliced inverse regression
KM Tan, Z Wang, T Zhang, H Liu, RD Cook
Biometrika 105 (4), 769-782, 2018
Classification of RNA-seq data
KM Tan, A Petersen, D Witten
Statistical analysis of next generation sequencing data, 219-246, 2014
Replicates in high dimensions, with applications to latent variable graphical models
KM Tan, Y Ning, DM Witten, H Liu
Biometrika 103 (4), 761-777, 2016
Graphical nonconvex optimization via an adaptive convex relaxation
Q Sun, KM Tan, H Liu, T Zhang
International Conference on Machine Learning, 4810-4817, 2018
Transformation of speech sequences in human sensorimotor circuits
K Müsch, K Himberger, KM Tan, TA Valiante, CJ Honey
Proceedings of the National Academy of Sciences 117 (6), 3203-3213, 2020
Local uncertainty sampling for large-scale multiclass logistic regression
L Han, KM Tan, T Yang, T Zhang
Annals of Statistics 48 (3), 1770-1788, 2020
Logarithmic transformation-based gamma random number generators
B Xi, KM Tan, C Liu
Journal of Statistical Software 55 (1), 1-17, 2013
Classification of RNA-seq data, Statistical Analysis of Next Generation Sequencing Data, 219–46
KM Tan, A Petersen, D Witten
Springer, New York, 2014
Selection bias correction and effect size estimation under dependence
KM Tan, N Simon, D Witten
arXiv preprint arXiv:1405.4251, 2014
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Articles 1–20