Preprints

* Student Author

2023

  1. Efficient inference on high-dimensional linear models with missing outcomes
    Yikun Zhang*, Alexander Giessing, and Yen-Chi Chen
    In Review, 2023
    arXiv Code
  2. Anti-concentration of suprema of Gaussian processes and Gaussian order statistics
    Alexander Giessing
    In Review, 2023
    arXiv
  3. Upper bounds on suprema of empirical processes via generic chaining
    Alexander Giessing
    Working Paper, 2023
  4. A bootstrap hypothesis test for high-dimensional mean vectors
    Alexander Giessing, and Jianqing Fan
    In Review, 2023
    arXiv
  5. Gaussian and bootstrap approximations for suprema of empirical processes
    Alexander Giessing
    In Review, 2023
    arXiv

2020

  1. Bootstrapping Lp-statistics in high dimensions
    Alexander Giessing, and Jianqing Fan
    In Review, 2020
    arXiv


Journal & Conference Articles

2023

  1. Debiased inference on heterogeneous quantile treatment effects with regression rank-scores
    Alexander Giessing, and Jingshen Wang
    Journal of the Royal Statistical Society, Series B, 2023
    arXiv Journal Code Slides

2019

  1. On the predictive risk in misspecified quantile regression
    Alexander Giessing, and Xuming He
    Journal of Econometrics, 2019
    arXiv Journal

2017

  1. Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
    Kristjan Greenewald, Seyoung Park, Shuheng Zhou, and Alexander Giessing
    In Advances in Neural Information Processing Systems, 2017
    arXiv Journal
  2. Response to the ASA’s Statement on p-Values: Context, Process, and Purpose
    Edward L. Ionides, Alexander Giessing, Ya’acov Ritov, and Scott E. Page
    The American Statistician, 2017
    Journal
  3. Cumulative Effects of Concussion History on Baseline Computerized Neurocognitive Test Scores: Systematic Review and Meta-analysis
    Bara Alsalaheen, Kayla Stockdale, Dana Pechumer, Alexander Giessing, Xuming He, and Steven P. Broglio
    Sports Health, 2017
    Journal