Sumanta Basu
Sumanta Basu
Assistant Professor, Cornell University
Verified email at - Homepage
Cited by
Cited by
Regularized estimation in sparse high-dimensional time series models
S Basu, G Michailidis
The Annals of Statistics 43 (4), 1535-1567, 2015
Iterative random forests to discover predictive and stable high-order interactions
S Basu, K Kumbier, JB Brown, B Yu
Proceedings of the National Academy of Sciences 115 (8), 1943-1948, 2018
Network granger causality with inherent grouping structure
S Basu, A Shojaie, G Michailidis
The Journal of Machine Learning Research 16 (1), 417-453, 2015
Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data
S Basu, W Duren, CR Evans, CF Burant, G Michailidis, A Karnovsky
Bioinformatics 33 (10), 1545-1553, 2017
Metabolomic profiling identifies biochemical pathways associated with castration-resistant prostate cancer
AK Kaushik, SK Vareed, S Basu, V Putluri, N Putluri, K Panzitt, ...
Journal of proteome research 13 (2), 1088-1100, 2014
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
J Lin*, S Basu*, M Banerjee, G Michailidis
Journal of Machine Learning Research 17 (146), 1-51, 2016
Adaptive thresholding for reconstructing regulatory networks from time-course gene expression data
A Shojaie, S Basu, G Michailidis
Statistics in Biosciences 4 (1), 66-83, 2012
A system-wide approach to measure connectivity in the financial sector
S Basu, S Das, G Michailidis, AK Purnanandam
A debiased MDI feature importance measure for random forests
X Li, Y Wang, S Basu, K Kumbier, B Yu
arXiv preprint arXiv:1906.10845, 2019
Low rank and structured modeling of high-dimensional vector autoregressions
S Basu, X Li, G Michailidis
IEEE Transactions on Signal Processing 67 (5), 1207-1222, 2019
Refining interaction search through signed iterative random forests
K Kumbier, S Basu, JB Brown, S Celniker, B Yu
arXiv preprint arXiv:1810.07287, 2018
Estimation in high-dimensional vector autoregressive models
S Basu, G Michailidis
arXiv preprint arXiv:1311.4175, 2013
Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy
H Arbel, S Basu, WW Fisher, AS Hammonds, KH Wan, S Park, ...
Proceedings of the National Academy of Sciences 116 (3), 900-908, 2019
Metabolic coessentiality mapping identifies C12orf49 as a regulator of SREBP processing and cholesterol metabolism
EC Bayraktar, K La, K Karpman, G Unlu, C Ozerdem, DJ Ritter, ...
Nature metabolism 2 (6), 487-498, 2020
Modeling and Estimation of High-dimensional Vector Autoregressions.
S Basu
Large spectral density matrix estimation by thresholding
Y Sun, Y Li, A Kuceyeski, S Basu
arXiv preprint arXiv:1812.00532, 2018
Interpretable vector autoregressions with exogenous time series
I Wilms, S Basu, J Bien, DS Matteson
arXiv preprint arXiv:1711.03623, 2017
Methionine-homocysteine pathway in African-American prostate cancer
JH Gohlke, SM Lloyd, S Basu, V Putluri, SK Vareed, U Rasaily, ...
JNCI cancer spectrum 3 (2), pkz019, 2019
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages
I Wilms*, S Basu*, J Bien, DS Matteson
arXiv preprint arXiv:1707.09208, 2017
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model
L Zhu, S Basu, RA Jarrow, MT Wells
Quarterly Journal of Finance 10 (04), 2050017, 2020
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