Iain M. Johnstone
Affiliations: | Stanford University, Palo Alto, CA |
Area:
StatisticsGoogle:
"Iain Johnstone"Children
Sign in to add trainee| Naomi S. Altman | grad student | 1987 | Stanford |
| Arthur Y. Lu | grad student | 2002 | Stanford |
| Noureddine El Karoui | grad student | 2004 | Stanford |
| Debashis Paul | grad student | 2005 | Stanford |
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Publications
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| Johnstone IM, Onatski A. (2020) Testing in High-Dimensional Spiked Models Annals of Statistics. 48: 1231-1254 |
| Hall P, Johnstone IM, Ormerod JT, et al. (2019) Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation Journal of the American Statistical Association. 1-37 |
| Johnstone IM, Paul D. (2018) PCA in High Dimensions: An orientation. Proceedings of the Ieee. Institute of Electrical and Electronics Engineers. 106: 1277-1292 |
| Johnstone IM. (2018) Tail sums of Wishart and Gaussian eigenvalues beyond the bulk edge. Australian & New Zealand Journal of Statistics. 60: 65-74 |
| Mukherjee G, Johnstone IM. (2015) EXACT MINIMAX ESTIMATION OF THE PREDICTIVE DENSITY IN SPARSE GAUSSIAN MODELS. Annals of Statistics. 43: 937-961 |
| Johnstone IM, Paul D. (2014) Adaptation in some linear inverse problems Stat. 3: 187-199 |
| Birnbaum A, Johnstone IM, Nadler B, et al. (2013) MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY HIGH-DIMENSIONAL DATA. Annals of Statistics. 41: 1055-1084 |
| Donoho DL, Johnstone I, Montanari A. (2013) Accurate prediction of phase transitions in compressed sensing via a connection to minimax denoising Ieee Transactions On Information Theory. 59: 3396-3433 |
| Li J, Witten DM, Johnstone IM, et al. (2012) Normalization, testing, and false discovery rate estimation for RNA-sequencing data. Biostatistics (Oxford, England). 13: 523-38 |
| Johnstone IM, Lu AY. (2009) On Consistency and Sparsity for Principal Components Analysis in High Dimensions. Journal of the American Statistical Association. 104: 682-693 |