Search for dissertations about: "dynamic linear models"

Showing result 1 - 5 of 218 swedish dissertations containing the words dynamic linear models.

2. 1. Seasonal Adjustment and Dynamic Linear Models

   Author : Can Tongur; Daniel Thorburn; Sune Karlsson; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Dynamic linear models; DLM; direct and indirect seasonal adjustment; relative efficiency; Huber loss function; Polls of polls; Wiener process; Swedish elections; Statistics; statistik;

   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

4. 2. Dynamic Interactions : National Political Parties, Voters and European Integration

   Author : Johan Hellström; Svante Ersson; Mikko Mattila; Umeå universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Euroscepticism; European integration; dynamic representation; panel data; party positions; political parties; public opinion; voters; Political science; Statsvetenskap; statskunskap; political science;

   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

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. Translation as Linear Transduction : Models and Algorithms for Efficient Learning in Statistical Machine Translation

   Author : Markus Saers; Joakim Nivre; Anna Sågvall Hein; Dekai Wu; Kevin Knight; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; linear transduction; linear transduction grammar; inversion transduction; zipper finite-state automaton; zipper finite-state transducer; formal language theory; formal transduction theory; translation; automatic translation; machine translation; statistical machine translation; Computational linguistics; Datorlingvistik; Language technology; Språkteknologi; Computational Linguistics; Datorlingvistik;

   Abstract : Automatic translation has seen tremendous progress in recent years, mainly thanks to statistical methods applied to large parallel corpora. Transductions represent a principled approach to modeling translation, but existing transduction classes are either not expressive enough to capture structural regularities between natural languages or too complex to support efficient statistical induction on a large scale. READ MORE

7. 5. Dynamic Train-Track Interaction: Linear and Non-Linear Track Models with Property Scatter

   Author : Johan Oscarsson; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; stochastic track properties; non-linear track properties; dynamic train-track interaction; Latin Hypercube; perturbation technique; full-scale and laboratory measurements;

   Abstract : A numerical method was developed to investigate the vertical dynamic behaviour of a railway track subjected to the loading of a moving train. The numerical simulations are carried out in the time-domain with what is known as a moving mass model. READ MORE