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 13 of 13 for “"Hierarchical modelling"”.
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Hierarchical modelling of multivariate survival data
Hierarchical models based on conditional independence are investigated as a means of modelling multivariate survival times. The model structure follows Clayton (1978), Hougaard (1986b), and Oakes (1986, 1989). Both approximate Bayesian and maximum likelihood estimation in these models is …
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Statistical Hierarchical Modelling for Industrial Collaborative Prognosis
… non-ergodicity which is often a challenge while modelling the asset fleet data. A fleet-wide model trained by pooling the data from all the assets is associated with a high bias, whereas the independent assets- specific models are associated with high variance for the assets with sparse data. …
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Bayesian hierarchical modelling of dual response surfaces
… methods. In this dissertation, a Bayesian hierarchical approach is proposed to model the dual response system so that the inherent hierarchical variance structure of the response can be modeled naturally. The Bayesian model is developed for both univariate and multivariate dual response …
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A bayesian hierarchical modelling of small area variation in youth unemployment in Namibia
… small area estimation (SAE) models, the hierarchical Bayesian approach to SAE problems has several benefits, one of which is the ability to properly account for the kind of surveyed variable. For this reason, the main objective of this study was to estimate the risk of youth unemployment …
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Hierarchical Inference in Gaussian Processes
Hierarchical modelling is a fundamental theme in probabilistic machine learning which relies on the Bayesian interpretation on probability. The starting requirement for these models is that all unknowns are treated as random variables with their own respective probability distributions. The central …
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Generalizability of health economic evaluations : methods for multinational patient-level studies
… and incremental net monetary benefit. Hierarchical modelling is applied to calculate trial-wide and country-level estimates, while accounting for clustering and incorporating country- and patient-level covariates. Results: Simon and Gail test indicated qualitative homogeneity for …
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Unravelling abiotic and biotic drivers of biodiversity change in local plant and invertebrate communities after 80 years - a re-visitation study on the Studland peninsula.
… followed by successional processes. 2) Using hierarchical modelling of species loss/gains and a range of multivariate techniques, I found that species richness and compositional changes in plant and insect communities displayed cross-taxon congruence – correlated patterns of biodiversity …
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Forest dynamics at regional scales: predictive models constrained with inventory data
… Chapter One I outline historical approaches to modelling forest dynamics and present a discussion of competing methods of parameterisation and model selection. In Chapter Two I present a model of individual tree mortality in the eastern United States which incorporates species, climatic and …
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Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments
… identified as significant predictors using hierarchical modelling. It was found that audiovisual quality of experience relates to subscales of presence by being independent of reported visual realism and involvement, but combines linearly with these factors to contribute to ’spatial …
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Modelling the spatial and temporal distribution of Bacillus anthracis suitability across Uganda and Kenya: A Bayesian Approach
Modelling the spatial and temporal distribution of Bacillus anthracis suitability across Uganda and Kenya: A Bayesian Approach Valentina Awino Ndolo Anthrax disease, caused by Bacillus anthracis, poses a significant global disease burden, leading to sporadic outbreaks across a variety of climatic …
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Hierarchical Bayesian Models for Investigating Astrophysical Systematics in Type Ia Supernova Cosmology
… thesis, and discuss statistical methods such as hierarchical Bayesian modelling and Gaussian processes in Chapter 2, which are used extensively throughout. In the subsequent Chapters, I explore two distinct avenues for better understanding empirical SN-host correlations. The first involves the …
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Quantifying population- and individual-level processes in Greenland white-fronted geese (Anser albifrons flavirostris) for holistic conservation planning
Migratory animals have complex life cycles as they move across large geographic ranges in response to seasonal conditions. These life history traits make them especially vulnerable to anthropogenic-induced climate change and land use change, as they experience a broad range of environmental …
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System reliability analysis methods for rapid multi-scale network risk assessment and decision making
… large to handle, additional levels of hierarchical clustering are introduced. By use of the proposed approach, any sizable problem can be solved without significant accuracy compromise. Lastly, a multi-scale multi-criteria decision making analysis approach is developed by incorporating …