Bayesian Inference: Application To Environmental Management And Decision-Making

dc.contributor.authorNew Jersey. Department of Environmental Protection. Science Advisory Board. Ecological Processes Standing Committee
dc.date.accessioned2023-03-24T15:47:51Z
dc.date.available2023-03-24T15:47:51Z
dc.date.issued2014-04-25
dc.description.abstractImplementation of GIS based Bayesian inference into New Jersey Department of Environmental Protection’s (NJDEP) environmental monitoring “toolkit” has the potential to substantially improve monitoring efficiency and reduce long-term monitoring costs while simultaneously improving prediction capacity. In this context, the Scientific Advisory Board, Ecological Processes Standing Committee (EPSC) was tasked with addressing the overarching question: should the NJDEP evaluate and/or test Bayesian-based statistical analysis methods with the potential to substantially improve monitoring efficiency and outcomes in the near future? If so, what alternative methods should be evaluated?en_US
dc.identifier.urihttps://hdl.handle.net/10929/109881
dc.language.isoen_USen_US
dc.publisherTrenton, N.J. : Department of Environmental Protection, Division of Science and Researchen_US
dc.rightsThe organization that has made the Item available reasonably believes that the Item is not restricted by copyright or related rights, but a conclusive determination could not be made. Please refer to the organization that has made the Item available for more information. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use.en_US
dc.subjectNew Jerseyen_US
dc.subjectBayesian statistical decision theoryen_US
dc.titleBayesian Inference: Application To Environmental Management And Decision-Makingen_US
dc.typeTechnical Reporten_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
sab-bayesian.pdf
Size:
3.32 MB
Format:
Adobe Portable Document Format
Description: