Search for dissertations about: "Johan Lindström"
Showing result 1 - 5 of 8 swedish dissertations containing the words Johan Lindström.
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1. Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling
Abstract : In this thesis computationally intensive methods are used to estimate models and to make inference for large, spatio-temporal data sets. The thesis is divided into two parts: the first two papers are concerned with video analysis, while the last three papers model and investigate environmental data from the Sahel area in northern Africa. READ MORE
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2. Alphaherpesvirus infections of the central nervous system – Biomarkers, diagnostics and antiviral therapy
Abstract : Abstract Herpesviruses predate the evolution of humans and are globally ubiquitous. Herpes simplex virus type 1 (HSV-1), herpes simplex virus type 2 (HSV-2), and varicella-zoster virus (VZV) establish latency in neuronal tissue and may cause infections in the central nervous system (CNS). READ MORE
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3. Distribution and Differences : Stratification and the System of Reproduction in a Swedish Peasant Community 1620-1820
Abstract : This dissertation examines the character, conditions and change of peasant stratification in early modern Sweden. Wherever and whenever one looks, one finds that resources were unevenly spread among peasant households. In the literature, there are different, and conflicting, views compatible with this finding. READ MORE
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4. Prognostic Factors in First-Episode Schizophrenia : Five-year Outcome of Symptoms, Function and Obesity
Abstract : Our knowledge of prognostic factors and optimal treatment organisation in schizophrenia is incomplete. The disparity of outcome measures used has been a major obstacle for research. Increasing evidence has shown that schizophrenia is associated with increased cardiovascular mortality, development of obesity and autonomic nervous system imbalance. READ MORE
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5. Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings
Abstract : In this thesis, using the principles of confirmatory factor analysis (CFA) and the cause-effect concept associated with structural equation modelling (SEM), a new flexible statistical framework for evaluation of climate model simulations against observational data is suggested. The design of the framework also makes it possible to investigate the magnitude of the influence of different forcings on the temperature as well as to investigate a general causal latent structure of temperature data. READ MORE