Adaptive Preferential Sampling in Phylodynamics With an Application to SARS-CoV-2

DOI10.1080/10618600.2021.1987256OpenAlexW3206230148MaRDI QIDQ5084452

Lorenzo Cappello, Julia A. Palacios

Publication date: 24 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.02307

zbMATH Keywords

coalescent processPoisson processesMarkov random fieldspopulation size

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

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

Uses Software

• GMRFLib
• Stan
• BEAST
• phylodyn
• Nextstrain

Cites Work

• Unnamed Item
• Unnamed Item
• Simulation of nonhomogeneous poisson processes by thinning
• The coalescent
• Sampling-through-time in birth-death trees
• Finding the best resolution for the Kingman-Tajima coalescent: theory and applications
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• The horseshoe estimator for sparse signals
• $\ell_1$ Trend Filtering
• Gaussian Markov Random Fields
• Gaussian Process‐Based Bayesian Nonparametric Inference of Population Size Trajectories from Gene Genealogies
• Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories
• Identification in Parametric Models

This page was built for publication: Adaptive Preferential Sampling in Phylodynamics With an Application to SARS-CoV-2