Search for dissertations about: "Gaussian process"
Showing result 11 - 15 of 141 swedish dissertations containing the words Gaussian process.
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11. On flexible random field models for spatial statistics: Spatial mixture models and deformed SPDE models
Abstract : Spatial random fields are one of the key concepts in statistical analysis of spatial data. The random field explains the spatial dependency and serves the purpose of regularizing interpolation of measured values or to act as an explanatory model. READ MORE
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12. Resource-aware Wireless Process Control
Abstract : To tackle the ever-growing demands on high-quality and cost-effective industrial production, recent developments in embedded sensing, wireless communication, and cloud computing offer great opportunities. Resource-aware reliable wireless communication and real-time control are needed to leverage these technologies. READ MORE
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13. Tailoring Gaussian processes and large-scale optimisation
Abstract : This thesis is centred around Gaussian processes and large-scale optimisation, where the main contributions are presented in the included papers.Provided access to linear constraints (e.g. equilibrium conditions), we propose a constructive procedure to design the covariance function in a Gaussian process. READ MORE
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14. Spatial Mixture Models with Applications in Medical Imaging and Spatial Point Processes
Abstract : Finite mixture models have proven to be a great tool for both modeling non-standard probability distributions and for classification problems (using the latent variable interpretation). In this thesis we are building spatial models by incorporating spatially dependent categorical latent random fields in a hierarchical manner similar to that of finite mixture models. READ MORE
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15. Learning local predictive accuracy for expert evaluation and forecast combination
Abstract : This thesis consists of four papers that study several topics related to expert evaluation and aggregation. Paper I explores the properties of Bayes factors. Bayes factors, which are used for Bayesian hypothesis testing as well as to aggregate models using Bayesian model averaging, are sometimes observed to behave erratically. READ MORE