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 17 of 17 for “"Joint Modelling"”.
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Longitudinal Joint Modelling Utilising the Coxian Phase-type Distribution
Joint modelling techniques for the analysis of longitudinal and survival data are a relatively recent statistical development, employed to appropriately account for the possible association which can exist between these two processes. Since their development at the end of the 20th century, joint …
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Longitudinal latent class and joint modelling of antiretroviral adherence
… Town, the research employs survival analysis, joint modeling, and longitudinal latent class analysis to compare di↵erent adherence monitoring tools and examine heterogeneity in adherence behaviors. Key findings include: Electronic Adherence Monitoring (EAM) and tenofovir diphosphate levels in …
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Retrieval of research-level mathematics via joint modelling of text and types
… to their type. I then develop models that jointly model the modalities by combining type-based textual retrieval with typed formula retrieval. A key idea is typed unification – matching formulae by their structure and by the types of their constituents. My experiments show that textual …
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Modelling multivariate longitudinal outcomes and time-to-event data
… a time-to-event outcome among subjects. Joint models for longitudinal and survival data simultaneously analyse repetitively measured outcomes and associated event times. They offer valuable applications in two contexts: accounting for time-varying covariates measured with error when …
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Bayesian multivariate time series models for forecasting European macroeconomic series
… framework for empirical macroeconometric modelling in a Bayesian spirit. The second is to investigate whether improved forecasting accuracy is feasible within a European-based multicountry context. This is conducted with particular emphasis on the construction and implementation of …
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Bayesian Neural Networks for Actuarial Mortality Modelling
… of Bayesian neural networks (BNNs) for mortality modelling is an understudied, yet potentially promising area of research. They inherently offer robust uncertainty quantification, and are known for their application to sparse or small datasets. This research investigates the efficacy of BNN …
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Longitudinal and survival statistical methods with applications in renal medicine
… occurrences on the subsequent kidney function. Joint modelling of longitudinal and time-to-event outcome and Cox model with time-varying covariate are considered to answer the first problem. Whilst parameters are estimated by maximum likelihood (ML) using an expectation-maximisation (EM) …
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Estimating HIV incidence from multiple sources of data
… back-calculation in order to achieve the joint estimation of age-and-time dependent HIV incidence and diagnosis rates. Key challenges we specifically addressed include ensuring the computational feasibility of proposed methods, an issue that has previously hindered extensions of …
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Statistical modelling of the association between dietary diversity, dietary patterns and non-communicable diseases in Namibia
… diversity in Namibia, (ii) using bivariate count modelling approach in analyzing convenience and non-convenience consumption food preference in Windhoek, (iii) applying copula joint modelling of food insecurity indicators with application to food insecurity prevalence (FIP), household dietary …
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Multi-Material Topology Optimization Incorporating Practical Considerations in Response, Material Type Selection and Dissimilar Materials Joint
… materials, and the consideration of thin joints between dissimilar structural materials. First, an MMTO algorithm incorporating stress constraints is presented. A power-law-based stress limit interpolation scheme is proposed to ensure that different materials are assigned distinct stress …
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Joint Network Modeling of Omics Data for Understanding Complex Diseases
… analysis of multiple data sets or types, joint network approaches enhance statistical power and provide a route towards a deeper understanding of the mechanisms that underlie biological processes. This thesis proposes statistical approaches for joint network inference using both …
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IPRAMA: INDUCED POLARIZATION FOR RAW MATERIALS
… them into inversion frameworks. The modelling of IP effects in EM data often leads to non-unique solutions which increase the model ambiguity and decrease its interpretability: the relationship to both geology and galvanic chargeability become unclear, and the complexity of IP …
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Time Series Models for Finance and the Environment
… on presenting novel filtering methodologies for modelling and analysing features of financial and environmental time series. The methodology used in the chapters is based on the novel observation-driven dynamic conditional score (DCS) class of time series models. The first chapter sets up a DCS …
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Unveiling the lithospheric and mantle dynamic controls on Antarctic topography
… the northern Transantarctic Mountains. A novel joint modelling approach, integrating high-frequency receiver functions and P-wave coda autocorrelation, is used to constrain ice and subglacial properties. Subsequently, inversion of low-frequency receiver functions reveals crustal velocity …
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Statistical Methods to Improve Efficiency in Composite Endpoint Analysis
Composite endpoints combine a number of outcomes to assess the efficacy of a treatment. They are used in situations where it is difficult to identify a single relevant endpoint, such as in complex multisystem diseases. Our focus in this thesis is on composite responder endpoints, which allocate …
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Modelling Bipedal Locomotion Using Wavelets for Figure Animation
… addresses the problem of how to develop a motion-modelling approach that can produce motion that is not only believable but also expressive and individual. In recent years motion capture techniques have been widely used for creating realistic animation of articulated figures. The realism obtained …
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An event history analysis of socio-economic determinants of adult mortality in Namibia
… carried out using the Bayesian framework for joint modelling of fixed, non-linear and spatial frailties. The proposed Bayesian model assumed the following prior distributions: for the fixed effects I assigned diffuse priors, while the baseline was fitted using penalized random walks priors. …