Search for dissertations about: "Computational statistics"

Showing result 1 - 5 of 137 swedish dissertations containing the words Computational statistics.

  1. 1. 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.; secondary structure.; hidden Markov model; conditional random fields; integrons; attC< i> sites;

    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

  2. 2. Two Optimization Problems in Genetics Multi-dimensional QTL Analysis and Haplotype Inference

    University dissertation from Göteborg : Chalmers University of Technology

    Author : Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

    Abstract : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. READ MORE

  3. 3. Kinetic Models in Life Science — Contributions to Methods and Applications

    University dissertation from Gothenburg : Chalmers tekniska högskola

    Author : Joachim Almquist; [2017]
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NLME modeling; kinetic models; FOCE; Mig1; cell-to-cell variability; pharmacokinetics; parameter estimation; ticagrelor; atrial fibrillation; Kv1.5;

    Abstract : Kinetic models in life science combine mathematics and biology to answer questions from areas such as cell biology, physiology, biotechnology, and drug development. The idea of kinetic models is to represent a biological system by a number of biochemical reactions together with mathematical expressions for the reaction kinetics, i.e. READ MORE

  4. 4. On flexible random field models for spatial statistics: Spatial mixture models and deformed SPDE models

    University dissertation from Gothenburg : Chalmers tekniska högskola

    Author : Anders Hildeman; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Spatial statistics; Significant wave height; Spatial mixture model; Stochastic partial differential equation; Log-Gaussian Cox process; Point process; Gaussian random field; Substitute-CT;

    Abstract : Spatial random fields are one of the key concepts in statistical analysis of spatial data. The random field explains the spatial dependency and serves the purpose of regularizing interpolation of measured values or to act as an explanatory model. READ MORE

  5. 5. Computational Aspects of Lévy-Driven SPDE Approximations

    University dissertation from Göteborg : Chalmers University of Technology and University of Gothenburg

    Author : Andreas Petersson; Göteborgs universitet.; Gothenburg University.; [2017]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; multilevel Monte Carlo; numerical approximation of stochastic differential equations; multiplicative noise; Lévy processes; finite element method; variance redons; Monte Carlo; weak convergence; Lévy processes; multiplicative noise; weak convergence; numerical approximation of stochastic differential equations; finite element method; variance redons; Monte Carlo;

    Abstract : In order to simulate solutions to stochastic partial differential equations (SPDE) they must be approximated in space and time. In this thesis such fully discrete approximations are considered, with an emphasis on finite element methods combined with rational semigroup approximations. There are several notions of the error resulting from this. READ MORE