Search for dissertations about: "Fredrik Ronquist"
Showing result 6 - 10 of 16 swedish dissertations containing the words Fredrik Ronquist.
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6. A multi-faceted approach to a "dark taxon" : The hyperdiverse and poorly known scuttle flies (Diptera: Phoridae)
Abstract : Most of the unknown animal biodiversity on earth is in groups of invertebrates that are hyperdiverse and abundant, yet poorly known (“dark taxa”). The study of these organisms requires a multi-faceted approach and methodologies designed to tackle large numbers of species and specimens. READ MORE
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7. Charting biodiversity : Scuttle flies and other poorly known insects in Sweden
Abstract : Biodiversity has fascinated people in all times. We as a species are part of the global ecosystem and our survival depends on many other species around us. Charting biodiversity, however, has proven more difficult than one could imagine. READ MORE
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8. Bayesian Phylogenetic Inference : Estimating Diversification Rates from Reconstructed Phylogenies
Abstract : Phylogenetics is the study of the evolutionary relationship between species. Inference of phylogeny relies heavily on statistical models that have been extended and refined tremendously over the past years into very complex hierarchical models. READ MORE
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9. Charting Insect Diversity
Abstract : Background: Despite Sweden's rich legacy in entomology, a significant portion of its insect fauna remains poorly studied. Addressing this and other biodiversity knowledge gaps, the Swedish government unveiled the Swedish Taxonomy Initiative (STI) in 2002, with the ambitious goal of documenting and scientifically describing all multicellular species in the country. READ MORE
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10. Uncertainty Estimation in Models of Multivariate Trait Evolution on Given Phylogenies
Abstract : Phylogenetic comparative methods are a set of statistical methods that model the evolutionary history of species, especially in the context where one has data on certain traits of related extant species that have evolved over a phylogenetic tree in accordance to an underlying stochastic process. This thesis presents a Hessian-based closed-form asymptotic confidence region that covers a wide family of Gaussian continuous-trait evolution models; the result has been implemented in an R package. READ MORE