Rick Presman

Rick Presman

Research

Publications

  1. Presman, R. and Xu, J. (2024+). Asymptotic Consistency of Projected Mirror Descent. (Manuscript in progress)
  2. Presman, R. and Herring, A. (2024+). Bayesian Ordinal Regression for the Modeling of Neuron Degeneration in C. elegans. (Manuscript in progress).
  3. Presman, R. and Xu, J. (2023). Distance-to-Set Priors and Constrained Bayesian Inference. Artificial Intelligence and Statistics (top ~1.9% of papers)

Talks and Workshops

  1. Non-Euclidean Bayesian Constraint Relaxation via Divergence-to-Set Priors. *Joint Statistical Meetings (JSM) (2024) (Speed Talk and Poster)
  2. Distance-to-Set Priors and Constrained Bayesian Inference. Bayesian Young Statisticians Meeting (BAYSM) 2023, Online (2023) (Oral)
  3. Distance-to-Set Priors and Constrained Bayesian Inference. The 26th International Conference on Artificial Intelligence and Statistics, Palau de Congressos, Valencia, Spain (2023) (Oral and Poster)
  4. Inference for Distance-to-Set Regularization via Constrained Bayesian Inference, International Conference on Advances in Interdisciplinary Statistics and Combinatorics, UNC Greensboro (2022)
  5. Modernizing the undergraduate regression analysis course (Breakout Session with Maria Tackett and Mine Cetinkaya-Rundel), Electronic Conference on Teaching Statistics, Online (2022)
  6. Environmental Data Science Bootcamps, The Univeristy of Chicago (2020)
  7. Environmental Data Science Bootcamps, The Univeristy of Chicago (2019)