Search for dissertations about: "Bayesian model selection"
Showing result 26 - 30 of 43 swedish dissertations containing the words Bayesian model selection.
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26. Estimations of Hydrogeological Properties in Vulnerability and Risk Assessments
Abstract : The main objective of this thesis was to evaluate and develop approaches for hydrogeological vulnerability and risk assessments, starting with scant data and updating the results as new information becomes available. This work was performed within three separate projects between 1989 and 1995. READ MORE
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27. Bridging the past to the present: investigating species boundaries with herbarium specimens and next-generation-sequencing. A case study of circumpolar Silene sect. Physolychnis
Abstract : During the recent decades, genetic information enclosed in herbarium collections have been partly revealed, largely due to the fast-moving high-throughput sequencing technologies. However, the genetic outcome from herbarium material is limited by its degradation over time, often worsened by certain preservation methods. READ MORE
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28. Demography and Polyploidy in Capsella
Abstract : Studies of demography and population structure give insight into important evolutionary processes such as speciation and diversification. In the present work I perform such studies in the genus Capsella, which has three species: C. grandiflora, an outcrossing diploid, C. rubella a selfing diploid, and C. READ MORE
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29. Essays in empirical asset pricing
Abstract : Capital Asset Pricing Model (CAPM) is the most widely used model in asset pricing. This model evaluates the asset return in relation to the market return and the sensitivity of the security to the market. However, the evidence supporting the CAPM is mixed. READ MORE
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30. Modelling and forecasting economic time series with single hidden-layer feedforward autoregressive artificial neural networks
Abstract : This dissertation consists of 3 essays In the first essay, A Simple Variable Selection Technique for Nonlinear Models, written in cooperation with Timo Teräsvirta and Rolf Tschernig, I propose a variable selection method based on a polynomial expansion of the unknown regression function and an appropriate model selection criterion. The hypothesis of linearity is tested by a Lagrange multiplier test based on this polynomial expansion. READ MORE