Search for dissertations about: "Computational statistics"

Showing result 1 - 5 of 139 swedish dissertations containing the words Computational statistics.

  1. 1. Satistical Modelling Of CO2 Exchange Between Land And Atmosphere : Using Stochastic Optimisation And Gaussian Markov Random Fields

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Unn Dahlén; Lunds universitet.; Lund University.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; [2019-08-27]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Gaussiska Markovfält; Stokastisk optimering; CO2-flöden; Spatial statistik; Stochastic Optimisation; Gaussian Markov Random Fields; Atmospheric inverse modelling; Spatial statistics; Computational statistics;

    Abstract : Den främsta orsaken till en ökad växthuseffekt anses idag bero på en högre koncentrationav koldioxid i atmosfären. Sedan den industriella revolutionen harmänniskan påverkat mängden koldioxid i atmosfären genom aktiviteter så somförbränning av fossila bränslen, avskogning, förändringar i markanvändning, samtcementproduktion. READ MORE

  2. 2. Modeling of bacterial DNA patterns important in horizontal gene transfer using stochastic grammars

    University dissertation from Göteborg : Chalmers University of Technology

    Author : Mariana Buongermino Pereira; Göteborgs universitet.; Gothenburg University.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Stochastic context-free grammars; hidden Markov model; conditional random fields; integrons; attC< i> sites; secondary structure.;

    Abstract : DNA contains genes which carry the blueprints for all processes necessary to maintain life. In addition to genes, DNA also contains a wide range of functional patterns, which governs many of these processes. These functional patterns have typically a high variability, both within and between species, which makes them hard to detect. READ MORE

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

    University dissertation from Faculty of Engineering, Centre for Mathematical Sciences, Mathematical Statistics, Lund University

    Author : David Bolin; Lunds universitet.; Lund University.; [2012]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; random fields; Gaussian Markov random fields; Matérn covariances; stochastic partial differential equations; Computational efficiency;

    Abstract : Popular Abstract in Swedish Beräkningsmässigt skalar många av de klassiska metoderna inom spatiell statistik kubiskt med antalet observationer, vilket är opraktiskt om datamängderna är stora. I de traditionella tillämpningarna av statistik på spatiella datamänger begränsades ofta antalet observationer på grund av höga mätkostnader och metodernas beräkningskomplexitet inte sällan ett problem. READ MORE

  4. 4. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Johan Dahlin; Linköpings universitet.; Linköpings universitet.; [2016]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computational statistics; Monte Carlo; Markov chains; Particle filters; Machine learning; Bayesian optimisation; Approximate Bayesian Computations; Gaussian processes; Particle Metropolis-Hastings; Approximate inference; Pseudo-marginal methods;

    Abstract : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. READ MORE

  5. 5. Statistical Modeling of Diffusion Processes with Financial Applications

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Erik Lindström; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; [2004]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; actuarial mathematics; Statistik; operations research; programming; Option pricing; Model validation; Recursive estimation; Diffusion processes; Maximum Likelihood Estimation; operationsanalys; programmering; aktuariematematik; Statistics;

    Abstract : This thesis consists of five papers (Paper A-E) on statistical modeling of diffusion processes. Two papers (Paper A & D) consider Maximum Likelihood estimators for non-linear diffusion processes. READ MORE