Browsing by Subject "Bayesian Inference"
Now showing items 1-6 of 6
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(Texas A&M University, 2005-11-01)The main goal of this research is to estimate the model parameters and to detect multiple change points in the long memory parameter of Gaussian ARFIMA(p, d, q) processes. Our approach is Bayesian and inference is done on ...
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(2013-08-08)This study presents different aspects on the use of deterministic methods including Artificial Neural Networks (ANNs), and linear and nonlinear regression, as well as probabilistic methods including Bayesian inference and ...
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(2013-09-18)The Coefficient of Determination (CoD) plays an important role in Genomics problems, for instance, in the inference of gene regulatory networks from gene- expression data. However, the inference theory about CoD has not ...
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(2013-05-15)The objectives of this study were to 1) evaluate marker associations for genomic regions of interest and significant ontology terms, 2) evaluate and compare 4 models for their efficacy in predicting genetic merit, 3) ...
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(2023-07-13)In order to function safely and autonomously, modern robotic systems need to understand other agents’ mental states, including their beliefs and desires about the shared environment. This ability, known as Theory of Mind ...
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(2016-04-27)Estimates of probability of slope failure based on Monte-Carlo methods depend upon the state of evidence on the slope stability model parameters. The Bayesian framework illustrated in this paper to estimate the probability ...