Multi-task learning improves ancestral state reconstruction

DOI10.1016/j.tpb.2019.01.001zbMath1412.92217OpenAlexW2909220121WikidataQ91037309 ScholiaQ91037309MaRDI QIDQ1734685

Vu Dinh, Lam Si Tung Ho, Cuong Viet Nguyen

Publication date: 27 March 2019

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tpb.2019.01.001

zbMATH Keywords

maximum likelihood estimatormulti-task learningancestral state reconstruction

Mathematics Subject Classification ID

Problems related to evolution (92D15)

Related Items (2)

When can we reconstruct the ancestral state? A unified theory ⋮ Ancestral state reconstruction with large numbers of sequences and edge-length estimation

Cites Work

• Asymptotic theory with hierarchical autocorrelation: Ornstein-Uhlenbeck tree models
• Analysis of comparative data with hierarchical autocorrelation
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
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