
Optimizing an estuarine water quality monitoring program through an entropy-based hierarchical spatiotemporal Bayesian framework
Author(s) -
I. Alameddine,
S. Karmakar,
S.S. Qian,
Hans W. Paerl,
K.H. Reckhow
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/xyge-8q13
Subject(s) - bayesian probability , water quality , computer science , environmental science , estuary , entropy (arrow of time) , bayesian hierarchical modeling , data mining , bayesian inference , oceanography , artificial intelligence , ecology , geology , biology , physics , quantum mechanics