Browsing by Subject "Bayesian methods"
Now showing items 1-8 of 8
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(2012-02-14)This dissertation has mainly two parts. In the first part, we propose a bivariate nonlinear multivariate measurement error model to understand the distribution of dietary intake and extend it to a multivariate model to ...
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(2015-08-12)Cellular behavior is controlled through multivariate interactions between various biological molecules such as proteins and DNA. Various methods have previously been proposed to model such interactions. However many of ...
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(2017-04-10)Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its progression and explain induced drug resistance. There are two ...
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(2014-04-18)This dissertation consists of two main projects in the area of measurement error models with application in nutritional epidemiology. The first project studies the application of moment reconstruction and moment- adjusted ...
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(2021-05-19)In engineering and life science applications, designing reliable and reproducible predictors is of utmost importance and interest. On one hand, the amount of available data for the application and problem of interest may ...
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(2020-03-12)Numerical modelling of flow problems in fractured porous media has important applications in many engineering areas, such as unconventional reservoir simulation and nuclear waste disposal. Simulation of the flow problems ...
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(2022-08-25)Bayes factors are increasingly used to provide evidence for hypothesis in statistical tests due to their ease of interpretation and ability to reflect evidence in favor of true null hypotheses. However, this dissertation ...
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(Texas A&M University, 2008-10-10)Manufacturing system design decisions are costly and involve significant investment in terms of allocation of resources. These decisions are complex, due to uncertainties related to uncontrollable factors such as processing ...