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 20 of 38 for “"Bayes Theorem"”.
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Bayes’ Theorem: A Model for Human Probability Estimate Revision
The purpose of this study was to examine Bayes' Theorem as a model for the description of how humans utilize information based on uncertain (probabilistic) relationships between the relevant cues and the outcome-classes.
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Humpback whales, rock lobsters and mathematics : exploration of assessment models incorporating stock-structure
… in the assessments, including an outline of the Bayesian approach, Bayes' theorem, and the sampling-importance re-sampling (SIR) as well as the Markov Chain Monte Carlo (MCMC) methods.
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Conservatism in a Bayesian Probability Situation as a Function of the Sex of the Subject
… to examine whether the conservatism present in a Bayesian probability situation could be partially attributable to the sex of the subjects performing the task. The experimental design required that the subjects estimate the probabilities of occurrence of two independent events. They were then …
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Decision Making in Fire Risk Management
… probability values. A discussion on the use of Bayes theorem in combination with decision analysis is also included. The two case studies the thesis includes involve decisions regarding investments in water sprinkler systems for facilities belonging to the companies ABB and Avesta Sheffield, …
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Hydrocollapsible soil correlations
… may be too specific for this application. Bayes' Theorem is used to calculate the probability of collapse group membership for each zone. The resulting models give a score based on water content, dry density and soil classification that indicates the probability of collapse and noncollapse …
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A method to establish non-informative prior probabilities for risk-based decision analysis
In Bayesian decision analysis, uncertainty and risk are accounted for with probabilities for the possible states, or states of nature, that affect the outcome of a decision. Application of Bayes’ theorem requires non-informative prior probabilities, which represent the probabilities of states of …
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Delay analysis of Pacific Fleet Underway Replenishments
… on the use of conditional probabilities and Bayes' Theorem, of predicting a delay occurrence prior to an UNREP when the UNREP attributes are known is presented
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An Approach for Fast Score Computation in Bayesian Network Structure Learning Over Large-Scale Distributed Data
On a fundamental level, Bayes’ theorem enables us to utilize prior knowledge to determine the probability of an event. In consequence, its suitability for probabilistic reasoning has lead to its employment in probabilistic graphical modeling and the inception of Bayesian networks. The field is …
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Automatic Detection of Landmark Acoustic Cues in Human Speech
… compute the likelihood of each landmark. Using Bayes’ Theorem, the posterior probabilities are calculated to determine the most probable landmark (or absence thereof) at each time frame. The system’s performance is evaluated by comparing the detected landmarks to the manually labeled ground …
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Webpage rank using Bayes' rule and connected components
… a connected component (CC) or simply a block. A Bayes' theorem based block-wise local PageRank computation and weighting scheme are then used to compute the final ranking vector of CCRank, which approximates the one of PageRank algorithm. The computation can be accelerated through distribute the …
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Contribution au classement des fruits par analyse d'images numériques. Application au tri en ligne des pommes Golden delicious et Jonagold.
… non-parametric model of the fruit colour and on Bayes' theorem. In both cases, the development of an algorithm, taking into account local information, enhanced the segmentation precision. The calyx and stem ends, which appear as defects on the image, were detected by a pattern correlation …
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Η λήψη αντικειμενικών αποφάσεων στην τεχνητή διατροφή με την βοήθεια ηλεκτρονικού υπολογιστή (Computer assisted medical decision making)
… theory, reintroduces a different form of Bayes's theorem that allows calculation of the patient's probability to develop NACs by adding quantities known as "weights". A weight combines information found in both a symptom's or sign's sensitivity and specificity. Although these statistical …
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Updating the "Decision Aids for Tunneling"
… A mathematical model which is based on Bayes' theorem makes the code also capable of suggesting updated input parameters in some cases. An example project shows that the learning effect has a significant impact on the precision of the prediction and reduces the uncertainty substantially.
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Quantifying the relationship between wind turbine component failure rates and wind speed
… component failure rates and wind speed using Bayes Theorem. With these relationships known and wind speed dependent failure rates calculated, component reliability is modelled using discrete Markov Chains and Monte Carlo Simulation. The model is used to extrapolate the failure rate and wind …
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Integrative risk-based assessment modelling of safety-critical marine and offshore applications
… assessment and offshore safety case concepts. Bayesian network (BN) and fuzzy logic (FL) approaches applicable to marine and offshore safety assessment have been proposed for systematically and effectively addressing uncertainty due to randomness and vagueness in data respectively. BN test …
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ANALYTICAL METHODS TO PROPAGATE AND DIAGNOSE SINGLE EVENT TRANSIENTS
… window considering electrical attenuation. Bayes' theorem is used to model the SET injection. The method is extended to consider multiple SETs. A novel method is proposed to enhance SET propagation probability and is shown how it can assist the hardening process. A method to determine a set …
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Mathematical modelling of the floral transition — with a Bayesian flourish —
… unknowns as a probability within the setting of Bayes’ theorem as a statistical framework allows for a solution to both of these issues. This thesis investigates the use of a contemporary Bayesian inference algorithm, nested sampling, for inference problems typically found in systems biology …
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The development of Case Assessment and Interpretation (CAI) in forensic science
… (CAI), based on the underlying logic of Bayes Theorem and the use of likelihood ratios, was proposed in 1998 as a model of good practice in forensic science. Over the course of the next 12 years, the model process was applied to most main-stream forensic science disciplines and, as a …
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Interactive visualizations to improve Bayesian reasoning
Proper Bayesian reasoning is critical across a broad swath of domains that require practitioners to make predictions about the probability of events contingent upon earlier actions or events. However, much research on judgment has shown that people who are unfamiliar with Bayes’ Theorem often …
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The life of quanta : entanglement wormholes and the second law
… combining decoherence and the quantum Bayes theorem into a simple unified picture where decoherence increases entropy while observation decreases it. This provides a rigorous quantum-mechanical version of the second law of thermodynamics, governing how the entropy of a system evolves …
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