Search for dissertations about: "SAMHÄLLSVETENSKAP Statistik"

Showing result 1 - 5 of 354 swedish dissertations containing the words SAMHÄLLSVETENSKAP Statistik.

  2. 1. Attrition in Studies of Cognitive Aging

    Author : Maria Josefsson; Xavier de Luna; Lars Nyberg; Anders Lundquist; Mattias Villani; Umeå universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Attrition; missing data; age-related cognitive change; non- ignorable dropout; monotone missing pattern; mixture models; pattern- mixture models; imputation; Statistics; statistik;

    Abstract : Longitudinal studies of cognition are preferred to cross-sectional stud- ies, since they offer a direct assessment of age-related cognitive change (within-person change). Statistical methods for analyzing age-related change are widely available. READ MORE

  4. 2. On estimation in econometric systems in the presence of time-varying parameters

    Author : Kurt Brännäs; Umeå universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Econometric systems; time-varying parameters; Kalman filtering; stochastic regressors; unknown transition matrix; robustness; simulation;

    Abstract : Economic systems are often subject to structural variability. For the achievement of correct structural specification in econometric modelling it is then important to allow for parameters that are time-varying, and to apply estimation techniques suitably designed for inference in such models. READ MORE

  5. 3. Bayesian Sequential Inference for Dynamic Regression Models

    Author : Parfait Munezero; Mattias Villani; Helga Wagner; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Bayesian sequential inference; Dynamic regression models; Particle filter; Online prediction; Particle smoothing; Linear Bayes; Statistics; statistik;

    Abstract : Many processes evolve over time and statistical models need to be adaptive to change. This thesis proposes flexible models and statistical methods for inference about a data generating process that varies over time. The models considered are quite general dynamic predictive models with parameters linked to a set of covariates via link functions. READ MORE

  6. 4. Exploring patterns of empirical networks

    Author : Luis E C Rocha; Petter Holme; Kimmo Kaski; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; complex systems; complex networks; network analysis; empirical networks; air transportation; consumer complaints; information technology; sexual contacts; epidemics; vaccination; Statistical physics; Statistisk fysik; Computational physics; Beräkningsfysik; Technology and social change; Teknik och social förändring; Epidemiology; Epidemiologi; Information technology; Informationsteknik; fysik; Physics; Statistics; statistik; Epidemiology; epidemiologi; Economics; nationalekonomi;

    Abstract : We are constantly struggling to understand how nature works, trying to identify recurrent events and looking for analogies and relations between objects or individuals. Knowing patterns of behavior is powerful and fundamental for survival of any species. READ MORE

  7. 5. Random Multigraphs : Complexity Measures, Probability Models and Statistical Inference

    Author : Termeh Shafie; Ove Frank; Krzysztof Nowicki; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; multigraph; vertex labeled graph; edge labeled graph; isomorphism; edge multiplicity; simplicity and complexity; entropy; joint information; information divergence; goodness-of-fit; Statistics; statistik;

    Abstract : This thesis is concerned with multigraphs and their complexity which is defined and quantified by the distribution of edge multiplicities. Two random multigraph models are considered.  The first model is random stub matching (RSM) where the edges are formed by randomly coupling pairs of stubs according to a fixed stub multiplicity sequence. READ MORE