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stat.AP2020
Hierarchical Bayesian propulsion power models for marine vessels
Antti Solonen, Ramona Maraia, Sebastian Springer +5
Assessing the magnitude of fuel consumption of marine traffic is a challenging task. The consumption can be reduced by the ways the vessels are operated, to achieve both improved c…
stat.AP2016★ 16 cited
Bayesian Principal Component Regression model with spatial effects for forest inventory under small field sample size
Virpi Junttila, Marko Laine
Remote sensing observations are extensively used for analysis of environmental variables. These variables often exhibit spatial correlation, which has to be accounted for in the ca…