Bayesian Network Modelling Association

The BNMA BN Repository

This repository is a resource for posting and downloading Bayesian network models for sharing with others and for providing supporting material for publications. Please respect authors' rights where noted.

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4 BNs found.

35mm B&W Film risk rating 240319 EM

Provides risk ratings for prioritizing which U.S. National Archives and Records Administration records to preserve and archive, for 35mm B&W films.

Bruce G. Marcot
CC-BY
Netica .dne format
Marcot, B.G. & Ormsby, M. (in press) Prioritizing motion pictures for archival preservation using a decision-aiding Bayesian network. Heritage Science
Technology
National Archives, film, preservation, risk
10.59381/kshcfvxqsn
BCA_Microctonus_NG_RiskAnalysis

BAIPA (for “Biocontrol Adverse Impact Probability Assessment”) is a new probabilistic tool that assesses the potential unwanted impact of organisms released in biological control programmes on non-target species.

The BN integrates information on the potential of an insect parasitoid used in biological control to: (1) disperse in new habitats; (2) interact with non-target species; and eventually (3) negatively impact the populations of the non-target species.

The two exemplar BNs on this repository assess the potential of an insect parasitoid released for biological control of pasture weevils in New Zealand (Microctonus aethiopoides) to disperse in new habitats, interact with on-target species (native weevils in the genus Nicaeana) , and eventually negatively impact the populations of the non-target species. Two habitats are assessed, low-intensity grazing pastures (LIP) and native grassland (NG - this model). Both models were built with GeNIe <bayesfusion.co...>

Meurisse, Nicolas and Marcot, Bruce G. and Woodberry, Owen and Barratt, Barbara I. P. and Todd, Jacqui H.
CC-BY-NC-ND
GeNIe 2.0 XML format
Meurisse, N., Marcot, B.G., Woodberry, O., Barratt, B.I.P. & Todd, J.H. (2022) Risk Analysis Frameworks Used in Biological Control and Introduction of a Novel Bayesian Network Tool. Risk Analysis, 42(6):1255-1276
Biology > Ecology
BAIPA, ecological risk assessment, nontarget impact, probabilistic risk model
BCA_Microctonus_LIP_RiskAnalysis

BAIPA (for “Biocontrol Adverse Impact Probability Assessment”) is a new probabilistic tool that assesses the potential unwanted impact of organisms released in biological control programmes on non-target species.

The BN integrates information on the potential of an insect parasitoid used in biological control to: (1) disperse in new habitats; (2) interact with non-target species; and eventually (3) negatively impact the populations of the non-target species.

The two exemplar BNs on this repository assess the potential of an insect parasitoid released for biological control of pasture weevils in New Zealand (Microctonus aethiopoides) to disperse in new habitats, interact with on-target species (native weevils in the genus Nicaeana) , and eventually negatively impact the populations of the non-target species. Two habitats are assessed, low-intensity grazing pastures (LIP - this model) and native grassland (NG). Both models were built with GeNIe <bayesfusion.co...>

Meurisse, Nicolas and Marcot, Bruce G. and Woodberry, Owen and Barratt, Barbara I. P. and Todd, Jacqui H.
CC-BY-NC-ND
GeNIe 2.0 XML format
Meurisse, N., Marcot, B.G., Woodberry, O., Barratt, B.I.P. & Todd, J.H. () Risk Analysis Frameworks Used in Biological Control and Introduction of a Novel Bayesian Network Tool. Risk Analysis, n/a(n/a):
Biology > Ecology
BAIPA, ecological risk assessment, nontarget impact, probabilistic risk model
Amniocentesis Test

A decision network which decides if an Amniocentesis test provides a probability of a positive or negative result given the mother's age. It also provides the probability of a miscarriage should the test not be carried out appropriately. Amniocentesis is a test that can be done on pregnant women to test for certain foetal abnormalities, such as Down’s Syndrome.

Dan Rogers
CC-BY
Netica .dne format
Medicine
Amniocentesis, foetal, abnormalities, Down’s Syndrome, risk, mother's age