A guided walk Metropolis algorithm. - Paul Gustafson (Stat. Comput., 1998)

Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition. - Paul Gustafson; Peter Carbonetto; Natalie Thompson; Nando de Freitas (AISTATS, 2003)

On the Value of derivative evaluations and random walk suppression in Markov Chain Monte Carlo algorithms. - Paul Gustafson; Ying C. MacNab; Sijin Wen (Stat. Comput., 2004)

On the application of statistical learning approaches to construct inverse probability weights in marginal structural Cox models: Hedging against weight-model misspecification. - Mohammad Ehsanul Karim; John Petkau; Paul Gustafson; Helen Tremlett; The Beams Study Group (Commun. Stat. Simul. Comput., 2017)

OrthoPanels: An R Package for Estimating a Dynamic Panel Model with Fixed Effects Using the Orthogonal Reparameterization Approach. - Mark Pickup; Paul Gustafson; Davor Cubranic; Geoffrey Evans (R J., 2017)

Formal composition of hybrid systems. - Jared Culbertson; Paul Gustafson; Daniel E. Koditschek; Peter F. Stiller (CoRR, 2019)

CRTpowerdist: An R package to calculate attained power and construct the power distribution for cross-sectional stepped-wedge and parallel cluster randomized trials. - Yongdong Ouyang; Liang Xu; Mohammad Ehsanul Karim; Paul Gustafson; Hubert Wong (Comput. Methods Programs Biomed., 2021)

Hybrid dynamical type theories for navigation. - Paul Gustafson; Jared Culbertson; Daniel E. Koditschek (CoRR, 2021)

Conley's Fundamental Theorem for a Class of Hybrid Systems. - Matthew D. Kvalheim; Paul Gustafson; Daniel E. Koditschek (SIAM J. Appl. Dyn. Syst., 2021)

Automata and one-dimensional TQFTs with defects. - Paul Gustafson; Mee Seong Im; Remy Kaldawy; Mikhail Khovanov; Zachary Lihn (CoRR, 2023)

Boolean TQFTs with accumulating defects, sofic systems, and automata for infinite words. - Paul Gustafson; Mee Seong Im; Mikhail Khovanov (CoRR, 2023)

rtestim: Time-varying reproduction number estimation with trend filtering. - Jiaping Liu; Zhenglun Cai; Paul Gustafson; Daniel J. McDonald (PLoS Comput. Biol., 2024)