Lorenzo Cappello

Lorenzo Cappello

Stanford University

H-index: 6

North America-United States

About Lorenzo Cappello

Lorenzo Cappello, With an exceptional h-index of 6 and a recent h-index of 5 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

An efficient coalescent model for heterochronously sampled molecular data

Bayesian Change Point Detection with Spike-and-Slab Priors

adaPop: Bayesian inference of dependent population dynamics in coalescent models

Bayesian variance change point detection with credible sets

Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy

Bayesian Inference of Dependent Population Dynamics in Coalescent Models

Statistical challenges in tracking the evolution of SARS-CoV-2

Adaptive preferential sampling in phylodynamics with an application to SARS-CoV-2

Lorenzo Cappello Information

University

Position

___

Citations(all)

79

Citations(since 2020)

78

Cited By

19

hIndex(all)

6

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Lorenzo Cappello Skills & Research Interests

Statistics

Top articles of Lorenzo Cappello

An efficient coalescent model for heterochronously sampled molecular data

Journal of the American Statistical Association

2024/3/12

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Bayesian Change Point Detection with Spike-and-Slab Priors

Journal of Computational and Graphical Statistics

2023/10/2

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

adaPop: Bayesian inference of dependent population dynamics in coalescent models

PLOS Computational Biology

2023/3/20

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Jaehee Kim
Jaehee Kim

H-Index: 7

Bayesian variance change point detection with credible sets

arXiv preprint arXiv:2211.14097

2022/11/25

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Bayesian Inference of Dependent Population Dynamics in Coalescent Models

bioRxiv

2022/5/24

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Jaehee Kim
Jaehee Kim

H-Index: 7

Statistical challenges in tracking the evolution of SARS-CoV-2

Statistical Science

2022/5

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Jaehee Kim
Jaehee Kim

H-Index: 7

Sifan Liu
Sifan Liu

H-Index: 4

Adaptive preferential sampling in phylodynamics with an application to SARS-CoV-2

Journal of Computational and Graphical Statistics

2022/4/3

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Scalable Bayesian change point detection with spike and slab priors

arXiv preprint arXiv:2106.10383

2021/6/18

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Sequential importance sampling for multiresolution Kingman-Tajima coalescent counting

The annals of applied statistics

2020/6

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

The Tajima heterochronous n-coalescent: inference from heterochronously sampled molecular data

arXiv preprint arXiv:2004.06826

2020/4/14

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Amandine Veber
Amandine Veber

H-Index: 11

Adaptive preferential sampling in phylodynamics

arXiv preprint arXiv:2009.02307

2020/9/4

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

Discussion on “Horseshoe-based Bayesian nonparametric estimation of effective population size trajectories” by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N …

Biometrics

2020/9

Lorenzo Cappello
Lorenzo Cappello

H-Index: 3

See List of Professors in Lorenzo Cappello University(Stanford University)