Teaching basic numeracy, predictive models and socioeconomics to marine ecologists through Bayesian belief networks
نویسندگان
چکیده
منابع مشابه
Teaching basic numeracy, predictive models and socioeconomics to marine ecologists through Bayesian belief networks [version 1; referees: 2 approved with reservations]
Teaching numeric disciplines to higher education students in many life sciences disciplines is highly challenging. In this study, we test whether an approach linking field observations with predictive models can be useful in allowing students to understand basic numeracy and probability, as well as developing skills in modelling, understanding species interactions and even community/ecosystem-s...
متن کاملBelief networks / Bayesian networks
Introduction In modeling real world tasks, one inevitably has to deal with uncertainty. This uncertainty is due to the fact that many facts are unknown and or simply ignored and summarized. Suppose that one morning you find out that your grass is wet. Is it due to rain, or is it due to the sprinkler? If there is no other information, you can only talk in terms of probabilities. In a probabilist...
متن کاملTeaching numeracy.
Understanding number concepts and basic mathematical skills is important for many everyday activities in modern societies. Little is understood about the numeracy abilities of people with Down syndrome. At present, it appears that numeracy is an area of relative difficulty and that progress with more complex mathematical understanding is slow. However, some teaching approaches that seek to util...
متن کاملProject Portfolio Risk Response Selection Using Bayesian Belief Networks
Risk identification, impact assessment, and response planning constitute three building blocks of project risk management. Correspondingly, three types of interactions could be envisioned between risks, between impacts of several risks on a portfolio component, and between several responses. While the interdependency of risks is a well-recognized issue, the other two types of interactions remai...
متن کاملCausality in Bayesian Belief Networks
We address the problem of causal interpre tation of the graphical structure of Bayesian belief networks (BBNs). We review the con cept of causality explicated in the domain of structural equations models and show that it is applicable to BBNs. In this view, which we call mechanism-based, causality is defined within models and causal asymmetries arise ·, when mechanisms are placed in the conte...
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ژورنال
عنوان ژورنال: F1000Research
سال: 2014
ISSN: 2046-1402
DOI: 10.12688/f1000research.5981.1