Marco Carone

Statistics and Probability · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 36 citations into it
• Artificial Intelligence — 15 citations into it
• Statistical Learning Theory — 9 citations into it
• Causal Inference & Discovery — 6 citations into it

Whom Marco Carone trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. James M. Robins
2. Jerome H. Friedman
3. M. J. van der Laan
4. Trevor J. Hastie
5. William S. Cleveland
6. David Hilton Wolpert
7. Vladimir Naumovich Vapnik
8. Sara A. van de Geer

Papers from Marco Carone's perspective

Ordered by how strongly the researchers Marco Carone trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Greedy function approximation: A gradient boosting machine.
3. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
4. Doubly Robust Estimation in Missing Data and Causal Inference Models
5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
6. Local Rademacher complexities
7. Robust Locally Weighted Regression and Smoothing Scatterplots
8. The Prevention and Treatment of Missing Data in Clinical Trials
9. XGBoost: A Scalable Tree Boosting System
10. Estimating a Regression Function

Their papers

• Nonparametric variable importance assessment using machine learning techniques (2020) — 131 citations
• Global sensitivity analysis for repeated measures studies with informative drop‐out: A semi‐parametric approach (2018) — 25 citations
• Sequential Double Robustness in Right-Censored Longitudinal Models (2017) — 50 citations