Search for dissertations about: "Dynamic models"
Showing result 1 - 5 of 1319 swedish dissertations containing the words Dynamic models.
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1. Dynamic Interactions : National Political Parties, Voters and European Integration
Abstract : This thesis consists of an introduction and four self-contained papers, designated I-IV, which extend previous research on national political parties and voters in Western Europe. More specifically, the issues addressed are parties’ positions and voters’ opinions on European integration and their dynamic interactions, i.e. READ MORE
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2. Towards Intelligent Deformable Models for Medical Image Analysis
Abstract : Medical imaging continues to permeate the practice of medicine, but automated yet accurate segmentation and labeling of anatomical structures continues to be a major obstacle to computerized medical image analysis (MIA). Deformable models, with its profound roots in estimation theory, optimization, and physics-based dynamical systems, represent a powerful approach to the general problem of medical image segmentation. READ MORE
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3. Seasonal Adjustment and Dynamic Linear Models
Abstract : Dynamic Linear Models are a state space model framework based on the Kalman filter. We use this framework to do seasonal adjustments of empirical and artificial data. A simple model and an extended model based on Gibbs sampling are used and the results are compared with the results of a standard seasonal adjustment method. READ MORE
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4. Variational Inference of Dynamic Factor Models
Abstract : When we make difficult and crucial decisions, forecasts are powerful and important tools. For that purpose, statistical models can be our most effective aid. Ideally, these models can incorporate large sets of multifaceted data. READ MORE
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5. Bayesian Sequential Inference for Dynamic Regression Models
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