Probabilistic forecasting of maximum human lifespan by 2100 using Bayesian population projections M Pearce, AE Raftery Demographic Research 44, 1271-1294, 2021 | 17 | 2021 |
A unified statistical learning model for rankings and scores with application to grant panel review M Pearce, EA Erosheva Journal of Machine Learning Research 23 (210), 1-33, 2022 | 13 | 2022 |
stoBEST: an efficient methodology for increased spatial resolution in two-component molecular tagging velocimetry M Pearce, Z Sparrow, TR Mabote, R Sánchez-González Measurement Science and Technology 32 (3), 035302, 2020 | 3 | 2020 |
On the validity of bootstrap uncertainty estimates in the Mallows-Binomial model M Pearce, EA Erosheva arXiv preprint arXiv:2206.12365, 2022 | 2 | 2022 |
Bayesian Rank-Clustering M Pearce, EA Erosheva arXiv preprint arXiv:2406.19563, 2024 | 1 | 2024 |
A new approach to grant review assessments: score, then rank SA Gallo, M Pearce, CJ Lee, EA Erosheva Research Integrity and Peer Review 8 (1), 10, 2023 | 1 | 2023 |
Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings M Pearce, EA Erosheva arXiv preprint arXiv:2301.09755, 2023 | | 2023 |
Methods for the Statistical Analysis of Preferences, with Applications to Social Science Data M Pearce University of Washington, 2023 | | 2023 |
Will this be a record-breaking century for human longevity? M Pearce, AE Raftery Significance 18 (6), 6-7, 2021 | | 2021 |