Now showing items 21-40 of 163

    • Asymptotic Approximations of Gravity Waves in Water 

      Jansen, Arne Kristian (Master thesis, 2009)
      The governing equations for waves propagating in water are derived by use of conservation laws. The equations are then cast onto dimensionless form and two important parameters are obtained. Approximations by use of ...
    • Automatic Parametrisation and Block pseudo Likelihood Estimation for binary Markov random Fields 

      Toftaker, Håkon (Master thesis, 2008)
      Discrete Markov random fields play an important role in spatial statistics, and are applied in many different areas. Models which consider only pairwise interaction between sites such as the Ising model often perform well ...
    • Bandwidth Selection in Kernel Density Estimation 

      Kile, Håkon (Master thesis, 2010)
      In kernel density estimation, the most crucial step is to select a proper bandwidth (smoothing parameter). There are two conceptually different approaches to this problem: a subjective and an objective approach. In this ...
    • Bandwith selection based on a special choice of the kernel 

      Oksavik, Thomas (Master thesis, 2007)
      We investigate methods of bandwidth selection in kernel density estimation for a wide range of kernels, both conventional and non-conventional.
    • Bayesian 4D inversion: integrating time-shift information 

      Sande, Stian (Master thesis, 2006)
      A new inversion method for time-lapse seismic data is developed. The method is based on the 3-dimensional spatially coupled AVO inversion in the Fourier domain, describedin Buland et al. (2003b). Further, a technique for ...
    • Bayesian Inversion of Well Log Data into Facies Units based on a Spatially Coupled Model 

      Vigsnes, Maria (Master thesis, 2006)
      Through a study of cored wells from the Statfjord Formation in the Tampen Area, we derive a spatially coupled classification model for facies units. We consider a Bayesian framework for the problem. A likelihood model is ...
    • Bayesian Seismic Lithology/Fluid Inversion Constrained by Rock Physics Depth Trends 

      Rimstad, Kjartan (Master thesis, 2008)
      In this study we consider 2D seismic lithology/fluid inversion constrained by rock physics depth trends and a prior lithology/fluid Markov random field. A stochastic relation from porosity and lithology/fluid to seismic ...
    • Bayesian Text Categorization 

      Næss, Arild Brandrud (Master thesis, 2007)
      Natural language processing is an interdisciplinary field of research which studies the problems and possibilities of automated generation and understanding of natural human languages. Text categorization is a central ...
    • Bayesianske metodar relevant for jernbanevedlikehald 

      Nilsen, Jens Morten (Master thesis, 2008)
      Jernbaneverket ønskjer å utnytte ressursane dei har til vedlikehald best mogleg. Systematisering og lagring av data om svikt og tilstand på dei utallege komponentane som utgjer det norske jernbanenettet i databasen BaneData ...
    • Bayesianske nettverk kontra Monte Carlo simulering for estimering av produksjonsregularitet 

      Børsting, Aud (Master thesis, 2009)
      Denne masteroppgaven omhandler hvordan Bayesianske nettverk og Monte Carlo simulering kan bli brukt til å estimere produksjonsregulariteten til et system. De to metodene blir også sammenlignet med hverandre. Sammenligningen ...
    • Betydning av feilspesifisert underliggende hasard for estimering av regresjonskoeffisienter og avhengighet i frailty-modeller 

      Mortensen, Bjørnar Tumanjan (Master thesis, 2007)
      Med levetidsdata for et stort antall familier kan man bruke frailty-modeller til å finne risikofaktorer og avhengighet innad i familien. En måte å gjøre dette på er å anta en realistisk fordeling for frailty-variabelen og ...
    • C*-crossed products 

      Wanvik, Martin Kristen Reed (Master thesis, 2008)
      We define and study the so-called C*-crossed product construction, primarily from the point of view of C*-dynamical systems, but we will also look at how crossed products (by commutative C*-algebras) arise as C*-algebras ...
    • Changepoint Models 

      Ramsnes, Kristine Behné (Master thesis, 2009)
      In this thesis we study recursion methods for making Bayesian inference on a class of multiple changepoint models, introduced in Fearnhead(2006). We present and implement recursion algorithms, and we evaluate how parameter ...
    • Classification of seismic waveform attributes in a Bayesian framework 

      Haugeto, Vegard Torje (Master thesis, 2009)
      The work conducted in this thesis is an extension of an existing methodology developed at Schlumberger Stavanger Research. The Extrema Classification method (Borgos, 2003) provides a framework for automated mapping of ...
    • Closed-skew Distributions: Simulation, Inversion and Parameter Estimation 

      Iversen, Daniel Høyer (Master thesis, 2010)
      Bayesian closed-skew Gaussian inversion is defined as a generalization of traditional Bayesian Gaussian inversion. Bayesian inversion is often used in seismic inversion, and the closed-skew model is able to capture the ...
    • Combining the MAX test with methods for Family-wise error rate 

      Risberg, Marita (Master thesis, 2008)
      In chapter 1 the necessary biological background for this thesis is provided. Here the definition of a SNP is provided and the connection between the human genom, DNA and SNPs. Chapter 2 gives the notation and definitions ...
    • Comparision of methods and software tools for availability assessment of production systems 

      Vesteraas, Astrid Hetland (Master thesis, 2008)
      This thesis presents and considers several different methods for computation of availability and production availability for production system. It is assumed that the system handles flow of a fluid. The thesis presents two ...
    • Comparison of ACER and POT Methods for estimation of Extreme Values 

      Dahlen, Kai Erik (Master thesis, 2010)
      Comparison of the performance of the ACER and POT methods for prediction of extreme values from heavy tailed distributions. To be able to apply the ACER method to heavy tailed data the ACER method was first modified to ...
    • Computing Metrics on Riemannian Shape Manifolds: Geometric shape analysis made practical 

      Fonn, Eivind (Master thesis, 2009)
      Shape analysis and recognition is a field ripe with creative solutions and innovative algorithms. We give a quick introduction to several different approaches, before basing our work on a representation introduced by Klassen ...
    • Constructing elliptic curves over finite fields using complex multiplication 

      Thuen, Øystein Øvreås (Master thesis, 2006)
      We study and improve the CM-method for the creation of elliptic curves with specified group order over finite fields. We include a thorough review of the mathematical theory needed to understand this method. The ability ...