Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Bayesian decision theory."”.
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Comparison of two drugs by multiple stage sampling using Bayesian decision theory
… have been performed, one must make the terminal decision of which of the two populations has the higher probability of success. The optimum strategy is to be optimum relative to a given loss function; and a prior distribution, or weighting function, for the probabilities of success for the two …
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Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.
… expected power for binomial data under the Bayesian paradigm. We make improvements to their efforts that allow us to specify not only a desired expected Bayesian power, but also a more generic loss function and a desired expected Bayesian significance level, the latter having never been …
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Integration of Bayesian Decision Theory and Computing with Words: A Novel Approach to Decision Support Using Z-numbers
Decision support systems have emerged over five decades ago to serve decision makers in uncertain conditions and usually rapidly changing and unstructured problems. Most decision support approaches, such as Bayesian decision theory and computing with words, compare and analyze the consequences of …
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Decision Analysis in Fire Safety Engineering - Analysing Investments in Fire Safety
The application of decision analytical methods to the evaluation of investments in fire safety was investigated, particularly with the aim of being able to suggest a method for analysing a specific investment in fire safety for a specific factory. Attention was directed above all at the handling of …
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Process control: a dynamic programming approach
… is used and along with the techniques of Bayesian decision theory, an optimal set of steady state control policies are shown to exist which are dependent upon prior beliefs about the condition of the process. It is the objective of this thesis to compare the results obtained from this …
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Reward and prediction errors in Bayesian sensorimotor control
… signal (phasic dopamine). Recent studies on Bayesian sensorimotor control have implicated midbrain dopamine concentration in the integration of prior knowledge and current sensory information. The present behavioral study addressed the contributions of tonic and phasic dopamine in a Bayesian …
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Sampling in human cognition
Bayesian Decision Theory describes optimal methods for combining sparse, noisy data with prior knowledge to build models of an uncertain world and to use those models to plan actions and make novel decisions. Bayesian computational models correctly predict aspects of human behavior in cognitive …
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Decision-theoretic techniques for the development and use of side information in frequency-hop radio receivers
… which symbols should be erased. In this thesis, Bayesian decision theory is employed to obtain such a method for use in frequency-hop communications with Reed-Solomon coding and errors-and-erasures decoding. One erasure decision rule that is derived minimizes a bound on the probability of not …
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Decision making under epistemic uncertainty : an application to seismic design
… for epistemic uncertainty in risk management decisions is conceptually straightforward, but is riddled with practical difficulties. Simple approximations are often used whereby future variations in epistemic uncertainty are ignored or worst-case scenarios are postulated. These strategies tend …
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The Bayesian-optimality of decision-making behavior: across tasks, time, and psychopathology.
… diagnosis to catching a baseball, people make decisions all the time. But on what basis are those decisions made and how optimal are they? This dissertation focuses on one theoretical approach to assess the optimality of decisions: Bayesian Decision Theory (BDT). BDT postulates that posterior …