Research

Refereed Publications

  • Jacobson, T. (2025), “Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models,” Journal of the Royal Statistical Society, Series B, DOI: 10.1093/jrsssb/qkaf010.
  • Jacobson, T. and Zou, H. (2025), “Linear Hypothesis Testing for High Dimensional Tobit Models,” Statistica Sinica, DOI: 10.5705/ss.202023.0118
  • Jacobson, T. Ding, J., and Zou, H. (2024), “Predicting 5G Throughput with BAMMO, a Boosted Additive Model for data with Missing Observations,” Journal of the Royal Statistical Society, Series C, 74(1), 249-273, DOI: 10.1093/jrsssc/qlae054.
  • Jacobson, T. and Zou, H. (2023), “High-Dimensional Censored Regression via the Penalized Tobit Likelihood,” Journal of Business and Economic Statistics, 42(1), 286-297, DOI: 10.1080/07350015.2023.2182309
  • Anderson, L. and Jacobson, T. (2023), “Providing the choice of in-person or video-conference attendance in a Clinical Physiology course may harm learning outcomes for the entire cohort,” Advances in Physiology Education, DOI: 10.1152/advan.00160.2022
  • Jacobson, T. & Zou, H. (2021), “Do Predictor Envelopes Really Reduce Dimension?” Journal of Data Science, 4, 528-541. DOI: 10.6339/21-JDS1017

Preprints

  • Jacobson, T. (2025) “Nonparametric Envelopes for Flexible Response Reduction.” arXiv: 2509.07248
  • Jacobson, T. and Kwon, O. (2025) “Envelope-Guided Regularization for Improved Prediction in High Dimensional Multivariate Regression.” arXiv: 2501.11791

Software