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 5 of 5 for “"Prior elicitation"”.
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Graphical methods in prior elicitation.
Prior elicitation is the process of quantifying an expert's belief in the form of a probability distribution on a parameter(s) to be used in a Bayesian data analysis. Existing methods require experts to quantify their belief by specifying multiple distribution summaries, which are then converted …
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Eliciting Expert Uncertainty from Decision Making
… accurately. This thesis explores uncertainty elicitation in terms of prior elicitation for Bayesian inference and the wider knowledge elicitation field. It describes methods currently available for prior elicitation and proposes a new typology, highlighting lesser-known methods. Based on the …
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Bayesian approaches for survival data in pharmaceutical research.
… by real-world problems in network meta-analysis, prior elicitation, and adaptive designs. Network meta-analysis is a hierarchical model used to combine the results of multiple studies, and allows for us to make direct and indirect comparisons between treatments. We investigate Bayesian network …
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Statistical methods for outcome misclassification adjustment in causal inference and spatial classification.
… of misclassification, the informative Dirichlet priors are specified based on previous studies. Taking misclassification into account significantly reduces bias and yields coverage probabilities closer to a given nominal value. In spatial classification, we propose validation data-based …
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A Modified Bayesian Power Prior Approach with Applications in Water Quality Evaluation
… power. Here, we present a Bayesian power prior approach by incorporating the current data and historical data and/or the data collected at neighboring stations to make stronger statistical inferences on the parameters of interest. The elicitation of power prior distributions is based on …