Paul Gustafson

13 papers A 1Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
rtestim: Time-varying reproduction number estimation with trend filtering.
PLoS Comput. Biol.
Jiaping Liu, Zhenglun Cai, Paul Gustafson, Daniel J. McDonald
2023 J jnl
Automata and one-dimensional TQFTs with defects.
CoRR
Paul Gustafson, Mee Seong Im, Remy Kaldawy, Mikhail Khovanov, Zachary Lihn
2023 J jnl
Boolean TQFTs with accumulating defects, sofic systems, and automata for infinite words.
CoRR
Paul Gustafson, Mee Seong Im, Mikhail Khovanov
2021 J jnl
CRTpowerdist: An R package to calculate attained power and construct the power distribution for cross-sectional stepped-wedge and parallel cluster randomized trials.
Comput. Methods Programs Biomed.
Yongdong Ouyang, Liang Xu, Mohammad Ehsanul Karim, Paul Gustafson, Hubert Wong
2021 J jnl
Conley's Fundamental Theorem for a Class of Hybrid Systems.
SIAM J. Appl. Dyn. Syst.
Matthew D. Kvalheim, Paul Gustafson, Daniel E. Koditschek
2021 J jnl
Hybrid dynamical type theories for navigation.
CoRR
Paul Gustafson, Jared Culbertson, Daniel E. Koditschek
2020 J jnl
Conley's fundamental theorem for a class of hybrid systems.
CoRR
Matthew D. Kvalheim, Paul Gustafson, Daniel E. Koditschek
2019 J jnl
Formal composition of hybrid systems.
CoRR
Jared Culbertson, Paul Gustafson, Daniel E. Koditschek, Peter F. Stiller
2017 J jnl
On the application of statistical learning approaches to construct inverse probability weights in marginal structural Cox models: Hedging against weight-model misspecification.
Commun. Stat. Simul. Comput.
Mohammad Ehsanul Karim, John Petkau, Paul Gustafson, Helen Tremlett, The Beams Study Group
2017 J jnl
OrthoPanels: An R Package for Estimating a Dynamic Panel Model with Fixed Effects Using the Orthogonal Reparameterization Approach.
R J.
Mark Pickup, Paul Gustafson, Davor Cubranic, Geoffrey Evans
2004 J jnl
On the Value of derivative evaluations and random walk suppression in Markov Chain Monte Carlo algorithms.
Stat. Comput.
Paul Gustafson, Ying C. MacNab, Sijin Wen
2003 A conf
Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition.
AISTATS
Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas
1998 J jnl
A guided walk Metropolis algorithm.
Stat. Comput.
Paul Gustafson