Michael Celentano
Statistics and Probability · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 19 citations into it
- Computational Mechanics — 18 citations into it
Whom Michael Celentano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Noureddine El Karoui
- Filippo Santambrogio
- Robert Tibshirani
- Mohsen Bayati
- Peter J. Bickel
- David L. Donoho
- Sundeep Rangan
- Bradley Efron
- Martin J. Wainwright
Papers from Michael Celentano's perspective
Ordered by how strongly the researchers Michael Celentano trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Atomic Decomposition by Basis Pursuit
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Decoding by linear programming
- The Dantzig selector: Statistical estimation when P is much larger than n
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Model selection and estimation in regression with grouped variables
Their papers
- The high-dimensional asymptotics of first order methods with random data (2021) — 51 citations
- Fundamental barriers to high-dimensional regression with convex penalties (2019) — 57 citations