John F Carriger

Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications

John F Carriger, Brian E Dyson, William H Benson, 2018, Integrated environmental assessment and management.

A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors.

John F Carriger, Mace G Barron, Todd M Martin, 2016, Aquatic toxicology.

Conceptual Bayesian networks for contaminated site ecological risk assessment and remediation support.

John F Carriger, Randy A Parker, R. Parker, 2020, Journal of environmental management.

Minimizing risks from spilled oil to ecosystem services using influence diagrams: the Deepwater Horizon spill response.

John F Carriger, Mace G Barron, J. F. Carriger, 2011, Environmental science & technology.

Influence diagrams as decision-making tools for pesticide risk management.

John F Carriger, Michael C Newman, 2012, Integrated environmental assessment and management.

Identifying evaluation considerations for the recovery and restoration from the 2010 Gulf of Mexico oil spill: An initial appraisal of stakeholder concerns and values

John F Carriger, William H Benson, Stephen J Jordan, 2015, Integrated environmental assessment and management.

Bayesian Networks Improve Causal Environmental Assessments for Evidence-Based Policy.

John F Carriger, Mace G Barron, Michael C Newman, 2016, Environmental science & technology.