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Lorenzo Cappello
Lorenzo Cappello
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
182019
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
132020
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
92022
Sequential importance sampling for multiresolution Kingman-Tajima coalescent counting
L Cappello, JA Palacios
The annals of applied statistics 14 (2), 727, 2020
82020
Scalable Bayesian change point detection with spike and slab priors
L Cappello, OHM Padilla, JA Palacios
arXiv preprint arXiv:2106.10383, 2021
72021
The Tajima heterochronous n-coalescent: inference from heterochronously sampled molecular data
L Cappello, A Veber, JA Palacios
arXiv preprint arXiv:2004.06826, 2020
72020
A Bayesian motivated Laplace inversion for multivariate probability distributions
L Cappello, SG Walker
Methodology and Computing in Applied Probability 20, 777-797, 2018
62018
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
52022
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
52022
Adaptive preferential sampling in phylodynamics
L Cappello, JA Palacios
arXiv preprint arXiv:2009.02307, 2020
32020
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
22023
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
12021
An efficient coalescent model for heterochronously sampled molecular data
L Cappello, A Véber, JA Palacios
Journal of the American Statistical Association, 1-21, 2024
2024
adaPop: Bayesian inference of dependent population dynamics in coalescent models
L Cappello, J Kim, JA Palacios
PLOS Computational Biology 19 (3), e1010897, 2023
2023
Bayesian variance change point detection with credible sets
L Cappello, OHM Padilla
arXiv preprint arXiv:2211.14097, 2022
2022
Bayesian Inference of Dependent Population Dynamics in Coalescent Models
L Cappello, J Kim, J Palacios
bioRxiv, 2022.05. 22.492976, 2022
2022
Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy
AG Ioannidis, L Cappello, EA Ashley
Nature Communications. 2022; 13: 5107., 2022
2022
Bayesian Inference of Dependent Population Dynamics in Coalescent Models (preprint)
L Cappello, J Kim, JA Palacios
2022
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
2020
Recursive procedures for nonparametric inference in multivariate settings
L Cappello
Universitŕ Bocconi, 2018
2018
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