Artigos com autorizações de acesso público - Kean Ming TanSaiba mais
24 artigos disponíveis publicamente
Learning graphical models with hubs
KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten
arXiv preprint arXiv:1402.7349, 2014
Autorizações: US National Institutes of Health
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 biology 13 (5), e1002155, 2015
Autorizações: US National Institutes of Health
Smoothed quantile regression with large-scale inference
X He, X Pan, KM Tan, WX Zhou
Journal of Econometrics 232 (2), 367-388, 2023
Autorizações: US National Science Foundation, US National Institutes of Health
Statistical Properties of Convex Clustering
KM Tan, D Witten
Electronic Journal of Statistics 9 (2), 2324-2347, 2015
Autorizações: US National Institutes of Health
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
Autorizações: US National Institutes of Health
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
Autorizações: US National Institutes of Health
Sparse biclustering of transposable data
KM Tan, DM Witten
Journal of Computational and Graphical Statistics 23 (4), 985-1008, 2014
Autorizações: US National Institutes of Health
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
Autorizações: US National Science Foundation, US National Institutes of Health
High-dimensional quantile regression: Convolution smoothing and concave regularization
KM Tan, L Wang, WX Zhou
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
Autorizações: US National Science Foundation, US National Institutes of Health
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
Autorizações: US National Science Foundation
Local uncertainty sampling for large-scale multiclass logistic regression
L Han, KM Tan, T Yang, T Zhang
Autorizações: US National Science Foundation, US National Institutes of Health
Sparse reduced rank Huber regression in high dimensions
KM Tan, Q Sun, D Witten
Journal of the American Statistical Association 118 (544), 2383-2393, 2023
Autorizações: US National Science Foundation, US National Institutes of Health, Natural …
Communication-constrained distributed quantile regression with optimal statistical guarantees
KM Tan, H Battey, WX Zhou
Journal of machine learning research 23 (272), 1-61, 2022
Autorizações: US National Science Foundation, UK Engineering and Physical Sciences …
Graphical nonconvex optimization via an adaptive convex relaxation
Q Sun, KM Tan, H Liu, T Zhang
International Conference on Machine Learning, 4810-4817, 2018
Autorizações: US National Science Foundation, Natural Sciences and Engineering Research …
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
Autorizações: US National Science Foundation, US National Institutes of Health, German …
Classification of RNA-seq data
KM Tan, A Petersen, D Witten
Statistical analysis of next generation sequencing data, 219-246, 2014
Autorizações: US National Institutes of Health
Scalable estimation and inference for censored quantile regression process
X He, X Pan, KM Tan, WX Zhou
The Annals of Statistics 50 (5), 2899-2924, 2022
Autorizações: US National Science Foundation, US National Institutes of Health
Robust estimation and inference for expected shortfall regression with many regressors
X He, KM Tan, WX Zhou
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
Autorizações: US National Science Foundation
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
Autorizações: US National Institutes of Health
Retire: Robust expectile regression in high dimensions
R Man, KM Tan, Z Wang, WX Zhou
Journal of Econometrics 239 (2), 105459, 2024
Autorizações: US National Science Foundation
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