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.
Results
Showing 1 to 20 of 21 for “"Bayes' rule"”.
-
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 …
-
Maritime intent estimation and the detection of unknown obstacles
… algorithms in this thesis-with an emphasis on Bayes' rule. Various scenarios are presented to demonstrate the capabilities and limitations of the intent estimation and obstacle detection algorithms.
-
Imprecise probability analysis for integrated assessment of climate change
… procedure efficiently for two different updating rules: Dempster's rule of conditioning and the Generalised Bayes' rule. Dempster's rule yields a posterior belief function in good qualitative agreement with previous studies that tried to constrain climate sensitivity and sulphate aerosol cooling. …
-
Computational Models for Binaural Sound Source Localization and Sound Understanding
… cues, are extracted from the input sounds. A Bayes rule-based hierarchical framework is applied for decision making. Simulations show the effectiveness of the model. A robust ITD estimation algorithm is introduced and implemented on the robot. Satisfactory results are achieved under real-world …
-
Three essays in behavioural finance: An examination into non- Bayesian Investment behaviour
… assumption that investors consistently apply Bayes Rule when updating their expectations, and identifies the behavioural attributes that affect asset prices. This thesis extends this literature by examining deviations from the Bayesian model that arise due to i) ambiguity aversion, ii) …
-
Essays on signaling games under ambiguity
… updates his non-additive belief according to a f-Bayesian updating rule of Gilboa and Schmeidler (1993). When the types are unambiguous in the sense of Nehring (1999), the receiver's conditional preferences after updating on an ambiguous message are always of the subjective expected utility form. …
-
Bayesian Optimization for Engineering Design and Quality Control of Manufacturing Systems
… surface functions are extremely challenging. Bayesian optimization is a great statistical tool, based on Bayes rule, used to optimize and model these expensive-to-evaluate functions. Bayesian optimization comprises of two important components namely, a sur- rogate model often the Gaussian …
-
Search-based Automatic Image Annotation Using Geotagged Community Photos
… information in a statistical framework based on Bayes' rule. Finally, the effectiveness of each of mentioned contributions as well as the complete automatic annotation process are evaluated experimentally.
-
Guiding diffusion generative models with applications to inverse problems
… repurposed for solving inverse problems by using Bayes rule as a mapping from p(x) to the posterior p(x|y). Existing approaches, known as guidance methods, use Gaussian approximations to the conditional densities via Tweedie’s formula to parameterise the mean, and are complemented by various …
-
Análisis de sensibilidad bayesiana a través de clases de distribuciones a priori: teoría y aplicaciones
… of robustness in decision-making problems from a Bayesian point of view. We bring interesting results related with robust Bayesian analysis which make this studies easier. Then, these results are applied in the study of real problems in different contexts: actuarial or financial risk, metrology …
-
ESSAYS ON DECISION MAKING UNDER UNCERTAINTY
… updating beliefs over the set of models via Bayes' rule even when concerns about model misspecification and ambiguity are present. Chapter 3 is the result of joint work with Fabio Maccheroni and Massimo Marinacci. We study updating in decision-making under model misspecification. The lack of …
-
Locating senior walking frame users in crowded indoor environments
… described. A probabilistic framework using the Bayes rule in combination with a Kernel Density method for estimating the probability density functions of received signal strengths at the cells is developed. The Wi-Fi based indoor localization method was implemented on a unit that measures …
-
Advanced Methods for Change Detection in LiDAR Data and Hyperspectral Images
… from one date to the other and using the Bayes rule for minimum error to perform the decision process. The other fusion method exploits the richer information content of high density point clouds to improve the parameters estimation of individual conifers in low density data. For each …
-
Fault detection and isolation via continuous time statistics = Detección y Diagnóstico de fallos mediante estadísticos en tiempo continuo
… de distintos tipos de fallos. La regla de Bayes, de uso habitual en clasificación de patrones, es de gran ayuda también en una de las fases del diagnóstico, la del aislamiento del fallo. La validación de los métodos presentados viene dada mediante distintos ejemplos de simulación, en …
-
Formally justified and modular Bayesian inference for probabilistic programs
… face of uncertainty. Furthermore, by applying Bayes' rule it is possible to use probabilistic models to make inferences about the state of the world from partial observations. While traditionally probabilistic models were constructed on paper, more recently the approach of probabilistic …
-
A hierarchical Bayesian calibration framework for quantifying input uncertainties in thermal-hydraulics simulation models
… ``lack of input uncertainty information'' issue. Bayesian calibration, or inverse Uncertainty Quantification (UQ), is the process of updating uncertainty distributions on the model inputs in a way that is consistent with observed data. The process of Bayesian calibration for nuclear system codes …
-
Statistical Learning Approaches to Information Filtering
… modelled by using probability theory and Bayes rule. As one major contribution of this thesis, the work clarifies the ``structure'' of information filtering and gives rise to principled solutions. In summary, the work of this thesis mainly covers the following three aspects: Collaborative …
-
Inverse problems in thermoacoustics
… learning, we demonstrate the feasibility of Bayes’ rule as a first principle in physics-informed statistical inference. In particular, we discuss two types of inverse problems in thermoacoustics: (i) implicit reduced-order models representative of nonlinear eigenproblems from linear stability …
-
Tool wear monitoring in turning using fused data sets of calibrated acoustic emission and vibration
… respectively. A belief network, based on Bayes' rule, was created providing fusion of data from AE and vibration for tool wear classification. The conditional probabilities required for the belief network to operate were established from examples. These examples were presented to the …
-
Mechanisms of Spoken Word Recognition and Memory Encoding Studied through Competitor Priming
… segments (e.g. hygiene). Consistent with the Bayes rule, the prior probability of the competitor word has been increased due to the earlier exposure, which can in turn change the perception or memory encoding of the target word. The MEG study described in Chapter 2 examined the neural …
Page 1 of 2