| Bayesian estimation of population size changes by sampling Tajima’s trees JA Palacios, A Véber, L Cappello, Z Wang, J Wakeley, S Ramachandran Genetics 213 (3), 967-986, 2019 | 21 | 2019 |
| Scalable Bayesian change point detection with spike and slab priors L Cappello, OHM Padilla, JA Palacios arXiv preprint arXiv:2106.10383, 2021 | 12 | 2021 |
| High-throughput SARS-CoV-2 and host genome sequencing from single nasopharyngeal swabs JE Gorzynski, HN De Jong, D Amar, C Hughes, A Ioannidis, R Bierman, ... medRxiv, 2020.07. 27.20163147, 2020 | 12 | 2020 |
| Statistical challenges in tracking the evolution of SARS-CoV-2 L Cappello, J Kim, S Liu, JA Palacios Statistical science: a review journal of the Institute of Mathematical …, 2022 | 11 | 2022 |
| Sequential importance sampling for multiresolution Kingman-Tajima coalescent counting L Cappello, JA Palacios The annals of applied statistics 14 (2), 727, 2020 | 11 | 2020 |
| Adaptive preferential sampling in phylodynamics with an application to SARS-CoV-2 L Cappello, JA Palacios Journal of Computational and Graphical Statistics 31 (2), 541-552, 2022 | 10 | 2022 |
| Bayesian variance change point detection with credible sets L Cappello, OHM Padilla IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 7 | 2025 |
| Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy VN Parikh, AG Ioannidis, D Jimenez-Morales, JE Gorzynski, HN De Jong, ... Nature communications 13 (1), 5107, 2022 | 7 | 2022 |
| The Tajima heterochronous n-coalescent: inference from heterochronously sampled molecular data L Cappello, A Veber, JA Palacios arXiv preprint arXiv:2004.06826, 2020 | 7 | 2020 |
| A Bayesian motivated Laplace inversion for multivariate probability distributions L Cappello, SG Walker Methodology and Computing in Applied Probability 20 (2), 777-797, 2018 | 7 | 2018 |
| Bayesian Change Point Detection with Spike-and-Slab Priors L Cappello, OH Madrid Padilla, JA Palacios Journal of Computational and Graphical Statistics 32 (4), 1488-1500, 2023 | 5 | 2023 |
| Adaptive preferential sampling in phylodynamics L Cappello, JA Palacios arXiv preprint arXiv:2009.02307, 2020 | 5 | 2020 |
| New (and old) predictive schemes with acid sequences M Battiston, L Cappello arXiv e-prints, arXiv: 2507.21874, 2025 | 3 | 2025 |
| Variance change point detection with credible sets L Cappello, OH Madrid Padilla arXiv preprint arXiv:2211.14097 56, 2022 | 3 | 2022 |
| An Efficient Coalescent Model for Heterochronously Sampled Molecular Data L Cappello, A Véber, JA Palacios Journal of the American Statistical Association 119 (548), 2437-2449, 2024 | 2 | 2024 |
| adaPop: Bayesian inference of dependent population dynamics in coalescent models L Cappello, J Kim, JA Palacios PLOS Computational Biology 19 (3), e1010897, 2023 | 2 | 2023 |
| Deconvoluting complex correlates of COVID19 severity with local ancestry inference and viral phylodynamics: Results of a multiomic pandemic tracking strategy VN Parikh, AG Ioannidis, D Jimenez-Morales, JE Gorzynski, HN De Jong, ... medRxiv, 2021.08. 04.21261547, 2021 | 1 | 2021 |
| Discussion on “Horseshoe-based Bayesian nonparametric estimation of effective population size trajectories” by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N … L Cappello, S Ghosh, JA Palacios Biometrics 76 (3), 691-694, 2020 | 1 | 2020 |
| Recursive nonparametric predictive for a discrete regression model L Cappello, SG Walker Computational Statistics & Data Analysis, 108275, 2025 | | 2025 |
| Bayesian Predictive Inference Beyond Martingales M Battiston, L Cappello arXiv preprint arXiv:2507.21874, 2025 | | 2025 |
