Search for dissertations about: "random parameter model"

Showing result 6 - 10 of 102 swedish dissertations containing the words random parameter model.

  2. 6. Methods for Optimal Model Fitting and Sensor Calibration

    Author : Erik Ask; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Model Fitting; Sensor Networks; Computer Vision; Polynomial Equations; Action Matrix Methods;

    Abstract : The problem of fitting models to measured data has been studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. READ MORE

  4. 7. Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties

    Author : David Bolin; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; random fields; Gaussian Markov random fields; Matérn covariances; stochastic partial differential equations; Computational efficiency;

    Abstract : The focus of this work is on the development of new random field models and methods suitable for the analysis of large environmental data sets. A large part is devoted to a number of extensions to the newly proposed Stochastic Partial Differential Equation (SPDE) approach for representing Gaussian fields using Gaussian Markov Random Fields (GMRFs). READ MORE

  5. 8. Essays on Performance and Growth in Swedish Banking

    Author : Pål Sjöberg; Göteborgs universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Swedish banking; degree of competition; Lerner indexes; entry barriers; contestability; commercial banks; savings banks; branch banks; unit banks; GMM estimation; dynamic panel data model; firm growth; Gibrat’s law of proportionate effect; technological change; local banking markets; entry thresholds; ordered probit model; Poisson model.;

    Abstract : This thesis deals with performance and growth in the Swedish banking sector, in an era following important changes such as the globalisation of financial markets, the harmonisation of legislation (e.g. the EU banking directives) and the implementation of new technology, such as Internet banking and other electronic delivery channels. READ MORE

  6. 9. Influence of Global Composition and Local Environment on the Spectroscopic and Magnetic Properties of Metallic Alloys

    Author : Weine Olovsson; Igor A. Abrikosov; G. Malcolm Stocks; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Physics; core level shift; random alloy; first principles simulations; density functional theory; auger kinetic energy; Invar alloys; exchange parameter; classical Heisenberg Hamiltonian; complete screening; transition state; disorder broadening; Fysik; Physics; Fysik;

    Abstract : Theoretical investigations of spectroscopic and magnetic properties of metallic systems in the bulk, as well as in nanostructured materials, have been performed within the density functional theory. The major part of the present work studies the differences between binding energies of electrons tightly bound to the atoms, the so-called core electrons (in contrast with the valence electrons), that is, core-level binding energy shift (CLS). READ MORE

  7. 10. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms

    Author : Othmane Mazhar; Boualem Djehiche; Munther Dahleh; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Time series; Non-asymptotic estimation; Minimax; Change point detection; Hidden Markov model; State space model; Least square; Penalized Regression; Random covariance matrix; Concentration inequality; Chaining integral; Self-normalized martingale inequality; Cramér-Rao inequality; van Trees inequality; Matematisk statistik; Mathematical Statistics;

    Abstract : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. READ MORE