Statistical inference for partially observed branching processes with application to cell lineage tracking of \textit{in vivo} hematopoiesis
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Publication:2291501
DOI10.1214/19-AOAS1272zbMath1435.62405arXiv1610.07550OpenAlexW2990230625MaRDI QIDQ2291501
Vladimir N. Minin, Jason Xu, Peter Guttorp, Janis L. Abkowitz, Chuanfeng Wu, Cynthia Dunbar, Samson Koelle
Publication date: 31 January 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1610.07550
generalized method of momentsMarkov jump processesstem cellsmechanistic modelingstochastic compartmental models
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80) Jump processes on general state spaces (60J76)
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Tracking hematopoietic stem cell evolution in a Wiskott-Aldrich clinical trial ⋮ Statistical inference for partially observed branching processes with application to cell lineage tracking of \textit{in vivo} hematopoiesis ⋮ Computational tools for assessing gene therapy under branching process models of mutation
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