emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC D Foreman-Mackey, WM Farr, M Sinha, AM Archibald, DW Hogg, ... arXiv preprint arXiv:1911.07688, 2019 | 232 | 2019 |
Prior knowledge elicitation: The past, present, and future P Mikkola, OA Martin, S Chandramouli, M Hartmann, OA Pla, O Thomas, ... arXiv preprint arXiv:2112.01380 2112, 2021 | 48 | 2021 |
PyMC: a modern, and comprehensive probabilistic programming framework in Python O Abril-Pla, V Andreani, C Carroll, L Dong, CJ Fonnesbeck, M Kochurov, ... PeerJ Computer Science 9, e1516, 2023 | 34 | 2023 |
HD 191939: Three Sub-Neptunes Transiting a Sun-like Star Only 54 pc Away M Badenas-Agusti, MN Günther, T Daylan, T Mikal-Evans, A Vanderburg, ... The Astronomical Journal 160 (3), 113, 2020 | 23 | 2020 |
Approximate Laplace approximations for scalable model selection D Rossell, O Abril, A Bhattacharya Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 18 | 2021 |
pymc-devs/pymc: v5. 6.1 T Wiecki, J Salvatier, R Vieira, M Kochurov, A Patil, M Osthege, BT Willard, ... Zenodo. July, 2023 | 6 | 2023 |
Prior knowledge elicitation: The past, present, and future; 2021 P Mikkola, OA Martin, S Chandramouli, M Hartmann, OA Pla, O Thomas | 5 | |
PreliZ: A tool-box for prior elicitation AA Icazatti Zuñiga, O Abril Pla, A Klami, OA Martín Journal of Open Source Software, 2023 | 2 | 2023 |
Models of classical novae with MESA O Abril Pla Universitat Politècnica de Catalunya, 2017 | | 2017 |
Leave-One-Out Probability Integral Transforms p-values, bayesian test quantities and PSIS sampling O Abril | | |
ArviZ OA PLA, A ANDORRA, A ARROYUELO, S DAxen, C CARROLL, ... | | |