From science to management: using Bayesian networks to learn about \textit{Lyngbya}

DOI10.1214/13-STS424zbMath1332.62421arXiv1405.4692WikidataQ60558209 ScholiaQ60558209MaRDI QIDQ254363

Eva Abal, Kathleen Ahern, Sandra Johnson, Grant Hamilton

Publication date: 8 March 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1405.4692

zbMATH Keywords

Bayesian networksBayesian statistics\textit{Lyngbya}

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Ecology (92D40)

Related Items (1)

From science to management: using Bayesian networks to learn about \textit{Lyngbya}

Cites Work

• From science to management: using Bayesian networks to learn about \textit{Lyngbya}
• Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers.
• Integrating Bayesian networks and decision trees in a sequential rule-based transportation model
• A Petri net approach to the study of persistence in chemical reaction networks
• Bayesian Networks and Decision Graphs

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