Robert Tibshirani
Stanford University
H-index: 179
North America-United States
Top articles of Robert Tibshirani
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Smooth multi-period forecasting with application to prediction of COVID-19 cases | Journal of Computational and Graphical Statistics | Elena Tuzhilina Trevor J Hastie Daniel J McDonald J Kenneth Tay Robert Tibshirani | 2024/1/5 |
CAR19 monitoring by peripheral blood immunophenotyping reveals histology-specific expansion and toxicity. | Blood Advances | Mark P Hamilton Erin Craig Cesar Gentille Alain Mina John Tamaresis | 2024/3/20 |
Intraoperative Evaluation of Breast Tissues During Breast Cancer Operations Using the MasSpec Pen | JAMA Network Open | Kyana Y Garza Mary E King Chandandeep Nagi Rachel J DeHoog Jialing Zhang | 2024/3/4 |
Evaluating a shrinkage estimator for the treatment effect in clinical trials | Statistics in Medicine | Erik W van Zwet Lu Tian Robert Tibshirani | 2024/2/28 |
Artificial Intelligence Identifies Factors Associated with Blood Loss and Surgical Experience in Cholecystectomy | NEJM AI | Josiah G Aklilu Min Woo Sun Shelly Goel Sebastiano Bartoletti Anita Rau | 2024/1/25 |
Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank | arXiv preprint arXiv:2404.17626 | Thomas Le Menestrel Erin Craig Robert Tibshirani Trevor Hastie Manuel Rivas | 2024/4/26 |
Pretraining and the Lasso | Erin Craig Mert Pilanci Thomas Le Menestrel Balasubramanian Narasimhan Manuel Rivas | 2024/1/23 | |
Prognostic pan-cancer and single-cancer models: A large-scale analysis using a real-world clinico-genomic database | medRxiv | Sarah F McGough Svetlana Lyalina Devin Incerti Yunru Huang Stefka Tyanova | 2023 |
Cross-validation: what does it estimate and how well does it do it? | Journal of the American Statistical Association | Stephen Bates Trevor Hastie Robert Tibshirani | 2023/5/11 |
Deep learning | Data mining | Ian H Witten Eibe Frank Mark A Hall Christopher J Pal | 2017 |
Moving beyond linearity | Gareth James Daniela Witten Trevor Hastie Robert Tibshirani Jonathan Taylor | 2023/7/1 | |
Regularized Cox Regression | Kenneth Tay Noah Simon Jerome Friedman Trevor Hastie Rob Tibshirani | 2023/8/19 | |
Feature-weighted elastic net: using “features of features” for better prediction | Statistica Sinica | J Kenneth Tay Nima Aghaeepour Trevor Hastie Robert Tibshirani | 2023/1 |
Identification of end‐stage renal disease metabolic signatures from human perspiration | Natural Sciences | Vishnu Shankar Basil Michael Alessandra Celli Zhenpeng Zhou Melanie D Ashland | 2023/4 |
Survival analysis and censored data | Gareth James Daniela Witten Trevor Hastie Robert Tibshirani Jonathan Taylor | 2023/7/1 | |
Unsupervised learning | Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications | Laura Igual Santi Seguí Laura Igual Santi Seguí | 2017 |
glmnet: Lasso and elastic-net regularized generalized linear models | Astrophysics Source Code Library | Jerome Friedman Trevor Hastie Rob Tibshirani Balasubramanian Narasimhan Kenneth Tay | 2023/8 |
Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19 | Ahmet Gorkem Er Daisy Yi Ding Berrin Er Mertcan Uzun Mehmet Cakmak | 2023/11/20 | |
Multiple testing | New Palgrave Dictionary of Economics | Joseph P Romano Azeem M Shaikh Michael Wolf | 2010 |
The Relaxed Lasso | Trevor Hastie Balasubramanian Narasimhan Rob Tibshirani | 2023/3/22 |
Co-Authors
