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- Bayesian statistical decision theory -- Applications (1)
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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Civic Ecology: Living Community Systems For Sustainability, Tim Smith
Civic Ecology: Living Community Systems For Sustainability, Tim Smith
Systems Science Friday Noon Seminar Series
Civic Ecology is a stakeholder-driven, whole systems framework for creating sustainable communities. The framework focuses on empowering citizens of all ages, cultures, and abilities to envision, create, and manage their community’s unique “software” -- the integrated energy, nutrient, water, waste, material, and food systems, as well as economic flows and cultural interactions that animate their place. Exploring and supporting these flows allows communities to enhance their local wealth (environmental, economic, and social), resilience, and competitiveness, and help them take control of designing and managing their future through collaboration and innovation. The Civic Ecology framework can be the foundation upon which …
The Intersection Between Science And Computer Science Is Almost Empty, Dick Hamlet
The Intersection Between Science And Computer Science Is Almost Empty, Dick Hamlet
Systems Science Friday Noon Seminar Series
Traditionally, a science such as physics overlaps with mathematics and engineering in a way that has been astonishingly productive. The math provides precise expression for the science, which in turn supplies the engineering with the information it needs to exploit physical phenomena. Computer science naturally wishes to put itself in the center of the traditional picture as a science. Unfortunately, it won't wash. The `science' of programming is pure and simple mathematics, not science. The distinction is more than linguistic, since science and mathematics have quite distinct goals and methods. By making the wrong choice, computer science research has been …
Bayesian And Related Methods: Techniques Based On Bayes' Theorem, Mehmet Vurkaç
Bayesian And Related Methods: Techniques Based On Bayes' Theorem, Mehmet Vurkaç
Systems Science Friday Noon Seminar Series
Bayes' theorem is a simple algebraic consequence of conditional probability. Yet, its consequences are critical to philosophy, society, and technology. Starting from its simple derivation, we will show how its interpretation in terms of base rates (priors) and class-conditional likelihoods illuminates everyday problems in medicine and law, and provides signal processing, communications, machine learning, model selection, and other applications of statistics with powerful classification and estimation tools. Next, we will briefly examine some of the ways in which this theorem can be adopted to include multiple attributes, contexts, hypotheses, and levels of risk. Methods derived from or related to Bayes’ …
Ecosystem Services: The Making Of A Metaphor We Live (?) By, Richard B. Norgaard
Ecosystem Services: The Making Of A Metaphor We Live (?) By, Richard B. Norgaard
Systems Science Friday Noon Seminar Series
What started as a humble metaphor to help us think about our relation to nature has become integral to how we are addressing the future of humanity and the course of biological evolution. The metaphor of nature as a stock that provides a flow of services is insufficient for the difficulties we are in or the task ahead. Indeed, combined with the mistaken presumption that we can analyze a global problem within a partial equilibrium economic framework and reach a new economy project-by-project without major institutional change, the simplicity of the stock-flow framework blinds us to the complexity of the …