Challenges and opportunities in synthesizing historical geospatial data using statistical models. - M. V. Eitzel; Maggi Kelly; Iryna Dronova; Yana Valachovic; Lenya Quinn-Davidson; Jon Solera; Perry de Valpine (Ecol. Informatics, 2016)

Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages. - Nicholas Michaud; Perry de Valpine; Daniel Turek; Christopher J. Paciorek; Dao Nguyen (J. Stat. Softw., 2021)

To rarefy or not to rarefy: robustness and efficiency trade-offs of rarefying microbiome data. - Johnny Hong; Ulas Karaoz; Perry de Valpine; William Fithian (Bioinform., 2022)

compareMCMCs: An R package for studying MCMC efficiency. - Perry de Valpine; Sally Paganin; Daniel Turek (J. Open Source Softw., 2022)

nimbleHMC: An R package for Hamiltonian Monte Carlo sampling in nimble. - Daniel Turek; Perry de Valpine; Christopher J. Paciorek (J. Open Source Softw., 2024)

Computational Methods for Fast Bayesian Model Assessment via Calibrated Posterior p -values. - Sally Paganin; Perry de Valpine (J. Comput. Graph. Stat., 2025)