Publications and Preprints

• Peak Inference under Selection
  • Alden Green and Jonathan Taylor
  • (In preparation)
• CoCA: Cooperative Components Analysis
  • Daisy Yi Ding, Alden Green, Min Woo Sun and Robert Tibshirani
• The High-Dimensional Asymptotics of Principal Components Regression
  • Alden Green and Elad Romanov
• Maximum Mean Discrepancy Meets Neural Networks: The Radon-Kolmogorov-Smirnov Test
  • Seunghoon Paik, Michael Celentano, Alden Green, Ryan J Tibshirani
• Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs
  • Alden Green, Sivaraman Balakrishnan, and Ryan Tibshirani.
  • Information and Inference (2023)
• Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?
  • Daniel J. McDonald, Jacob Bien, Alden Green, Addison J. Hu, Nat DeFries, Sangwon Hyun, Natalia L. Oliveira, James Sharpnack, Jingjing Tang, Robert Tibshirani, Valérie Ventura, Larry Wasserman, Ryan J. Tibshirani.
  • PNAS (2021)
• An Open Repository of Real-Time COVID-19 Indicators
  • Alex Reinhart, Logan Brooks, Maria Jahja, Aaron Rumack, Jingjing Tang, Sumit Agrawal, Wael Al Saeed, Taylor Arnold, Amartya Basu, Jacob Bien, Ángel A. Cabrera, Andrew Chin, Eu Jing Chua, Brian Clark, Sarah Colquhoun, Nat DeFries, David C. Farrow, Jodi Forlizzi, Jed Grabman, Samuel Gratzl, Alden Green, George Haff, Robin Han, Kate Harwood, Addison J. Hu, Raphael Hyde, Sangwon Hyun, Ananya Joshi, Jimi Kim, Andrew Kuznetsov, Wichada La Motte-Kerr, Yeon Jin Lee, Kenneth Lee, Zachary C. Lipton, Michael X. Liu, Lester Mackey, Kathryn Mazaitis, Daniel J. McDonald, Phillip McGuinness, Balasubramanian Narasimhan, Michael P. O’Brien, Natalia L. Oliveira, Pratik Patil, Adam Perer, Collin A. Politsch, Samyak Rajanala, Dawn Rucker, Chris Scott, Nigam H. Shah, Vishnu Shankar, James Sharpnack, Dmitry Shemetov, Noah Simon, Benjamin Y. Smith, Vishakha Srivastava, Shuyi Tan, Robert Tibshirani, Elena Tuzhilina, Ana Karina Van Nortwick, Valérie Ventura, Larry Wasserman, Benjamin Weaver, Jeremy C. Weiss, Spencer Whitman, Kristin Williams, Roni Rosenfeld, Ryan J. Tibshirani
  • PNAS (2021)
• Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs
  • Alden Green, Sivaraman Balakrishnan, Ryan Tibshirani.
  • JMLR (2021)
• Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs
  • Alden Green, Sivaraman Balakrishnan, Ryan Tibshirani.
  • AISTATS (2020)
• Bootstrapping Exchangeable Random Graphs
  • Alden Green and Cosma Shalizi.
  • Electronic Journal of Statistics (2022)
• A general method for combining different family-based rare variant tests of association to improve power and robustness to a wide range of genetic architectures
  • Alden Green, Kaitlyn Cook, Kelsey Grinde, Alessandra Valcarcel & Nathan Tintle
  • BMC Proceedings for Genetic Analysis Workshop 19 (2016)
• A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association tests
  • Alessandra Valcarcel, Kelsey Grinde, Kaitlyn Cook, Alden Green & Nathan Tintle
  • BMC Proceedings for Genetic Analysis Workshop 19 (2016)
• Illustrating, quantifying and correcting for bias in post-hoc analysis of gene-based rare variant tests of association
  • Kelsey E Grinde 1, Jaron Arbet 2, Alden Green 3, Michael O’Connell 2, Alessandra Valcarcel 4, Jason Westra 5 6, Nathan Tintle
  • Frontiers in Genetics (2016)