Resources Repository
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OrganizationWeb Portal 2024International Society for Bayesian Analysis (ISBA)
The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development …
The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development and application of Bayesian analysis. By sponsoring and organizing meetings, publishing the electronic journal Bayesian Analysis, and other activities, ISBA provides an international community for those interested in Bayesian analysis and its applications, and includes interest sections on topics such as biostatistics/pharmaceuticals, computation, economics/finance/business, education research/practice, environmental sciences, industrial statistics, nonparametrics and objective Bayes. Bayesian Analysis is the electronic journal…
Probability/Bayes | Business/Industry | Decision Theory | Climate/Environment | Education/Labor | Health/Medicine | Science/Technology | Global -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Dynamic Simulation | Business/Industry | Mathematical Models | State-Transition | Microsimulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Government/Law | Health/Medicine | North America -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
Dynamic Simulation | Energy/Engineering | Mathematical Models | State-Transition | Microsimulation | Health/Medicine | Military/Defense | Science/Technology -
BookPublication 2013Handbook of Decision Analysis
This book describes the philosophy, technical concepts, mathematics, and art of decision analysis for the …
This book describes the philosophy, technical concepts, mathematics, and art of decision analysis for the decision professional, and is designed to be supplemental reading for professional decision analysis training courses, a reference for beginning and experienced practitioners, and a supplemental text for an undergraduate or graduate course in decision analysis. The handbook includes chapters on the following topics: decision-making challenges; mathematical foundations of decision analysis; decision analysis soft skills; selecting the decision making process for…
Probability/Bayes | Energy/Engineering | Decision Theory | Preferences/Values | Value of Information | Decision Analysis | Economics/Finance | Health/Medicine -
BookPublication 2007Advances in Decision Analysis: From Foundations to Applications
Decision analysis consists of a prescriptive theory and associated models and tools that aid individuals …
Decision analysis consists of a prescriptive theory and associated models and tools that aid individuals or groups confronted with complex decision problems in a wide variety of contexts. Decision analysis can be applied to the environment, health and medicine, engineering, public policy, and business. This book reviews and extends the material typically presented in introductory texts on decision analysis. It covers the broad scope of decision analysis at an advanced level and includes chapters written by…
Probability/Bayes | Business/Industry | Decision Theory | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine