Ultrasensitive detection of rare mutations using next-generation targeted resequencing P Flaherty, G Natsoulis, O Muralidharan, M Winters, J Buenrostro, J Bell, ... Nucleic acids research 40 (1), e2-e2, 2012 | 174 | 2012 |
An empirical Bayes mixture method for effect size and false discovery rate estimation O Muralidharan The Annals of Applied Statistics, 422-438, 2010 | 117 | 2010 |
Estimating uncertainty for massive data streams N Chamandy, O Muralidharan, A Najmi, S Naidu | 29 | 2012 |
Teaching statistics at Google-scale N Chamandy, O Muralidharan, S Wager The American Statistician 69 (4), 283-291, 2015 | 17 | 2015 |
Detecting mutations in mixed sample sequencing data using empirical Bayes O Muralidharan, G Natsoulis, J Bell, H Ji, NR Zhang The Annals of Applied Statistics, 1047-1067, 2012 | 13 | 2012 |
A cross-sample statistical model for SNP detection in short-read sequencing data O Muralidharan, G Natsoulis, J Bell, D Newburger, H Xu, I Kela, H Ji, ... Nucleic acids research 40 (1), e5-e5, 2012 | 13 | 2012 |
Empirical Bayes mean estimation with nonparametric errors via order statistic regression on replicated data N Ignatiadis, S Saha, DL Sun, O Muralidharan Journal of the American Statistical Association 118 (542), 987-999, 2023 | 8 | 2023 |
Feedback detection for live predictors S Wager, N Chamandy, O Muralidharan, A Najmi Advances in Neural Information Processing Systems 27, 2014 | 8 | 2014 |
High dimensional exponential family estimation via empirical Bayes O Muralidharan Statistica Sinica, 1217-1232, 2012 | 7 | 2012 |
Detecting column dependence when rows are correlated and estimating the strength of the row correlation O Muralidharan | 6 | 2010 |
Second Order Calibration: A Simple Way to Get Approximate Posteriors O Muralidharan, A Najmi arXiv preprint arXiv:1510.08437, 2015 | 1 | 2015 |
On calibrated predictions for auction selection mechanisms HB McMahan, O Muralidharan arXiv preprint arXiv:1211.3955, 2012 | 1 | 2012 |
False Discovery Rate and Empirical Null Methods O MURALIDHARAN Stanford University thesis, URL: http://math. stanford. edu/theses/omkar. pdf, 2008 | 1 | 2008 |
On Calibrated Predictions for Auction Selection Mechanisms H Brendan McMahan, O Muralidharan arXiv e-prints, arXiv: 1211.3955, 2012 | | 2012 |
A Cross-Sample Statistical Model for SNP Detection in Short-Read Sequencing Data Supplementary Material O Muralidharan, G Natsoulis, J Bell, D Newburger, H Xu, I Kela, H Ji, ... | | 2011 |
A Mixture Model Approach to Empirical Bayes Testing and Estimation O Muralidharan Stanford University, 2011 | | 2011 |
Package ‘colcor’ O Muralidharan, MO Muralidharan | | 2010 |
Package ‘mixfdr’ O Muralidharan, MO Muralidharan | | 2009 |
THE ANNALS KV MARDIA, EM PETTY, CC TAYLOR, S HAYS, H SHEN, JZ HUANG, ... | | |
Faster Kriging on Graphs O Muralidharan | | |