Search for dissertations about: "Bayesian methods"
Showing result 6 - 10 of 301 swedish dissertations containing the words Bayesian methods.
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6. On risk-coherent input design and Bayesian methods for nonlinear system identification
Abstract : System identification deals with the estimation of mathematical models from experimental data. As mathematical models are built for specific purposes, ensuring that the estimated model represents the system with sufficient accuracy is a relevant aspect in system identification. READ MORE
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7. Bayesian Phylogenetic Inference
Abstract : In this thesis we consider two very different topics in Bayesian phylogenetic inference. The first paper, "Inferring speciation and extinction rates under different sampling schemes" by Sebastian Höhna, Tanja Stadler, Fredrik Ronquist and Tom Britton, focuses on estimating the rates of speciation and extinction of species when only a subsample of the present day species is available. READ MORE
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8. Recursive Bayesian Estimation : Navigation and Tracking Applications
Abstract : Recursive estimation deals with the problem of extracting information about parameters, or states, of a dynamical system in real time, given noisy measurements of the system output. Recursive estimation plays a central role in many applications of signal processing, system identification and automatic control. READ MORE
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9. Assesing performance of PCR analysis using Bayesian modelling
Abstract : Different analytical methods are available to analyse the DNA samples from crime scenes or to screen samples for the presence of some target bacterium. For this purpose a method known as Polymerase Chain Reaction (PCR) can often be used. READ MORE
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10. Scientific methods for integrating expert knowledge in Bayesian models
Abstract : Generating scientific advice to environmental management involves assessments with complex models, sparse data, and challenging empirical experiments, necessitating the integration of expert judgment with data into scientific models. To integrate expert judgement, assessors might elicit judgement by experts as quantiles, find a probability distribution that matches the quantiles, and add this information to the model. READ MORE