Browsing Department of Mathematics by Title
Now showing items 220-239 of 965
-
Ensemble Methods of Data Assimilation in Porous Media Flow for Non-Gaussian Prior Probability Density
(Doctoral thesis, 2015-08-28)Ensemble-based data-assimilation methods have gained fast growth since the ensemble Kalman filter (EnKF) was introduced into the petroleum engineering. Many techniques have been developed to overcome the inherent disadvantages ... -
Entropy solutions of the compressible Euler equations
(Journal article, 2015-05-11)We consider the three-dimensional Euler equations of gas dynamics on a bounded periodic domain and a bounded time interval. We prove that Lax-Friedrichs scheme can be used to produce a sequence of solutions with ever finer ... -
Entropy stability for the compressible Navier-Stokes equations with strong imposition of the no-slip boundary condition
(Journal article; Peer reviewed, 2022)We consider the compressible Navier-Stokes equations subject to no-slip adiabatic wall boundary conditions. The main goal is to investigate stability properties of schemes imposing the no-slip condition strongly (injection) ... -
Entropy stable boundary conditions for the Euler equations
(Journal article; Peer reviewed, 2021)We consider the initial-boundary value Euler equations with the aim to derive boundary conditions that yield an entropy bound for the physical (Navier-Stokes) entropy. We begin by reviewing the entropy bound obtained for ... -
ENUMATH 2017: Book of Abstracts
(Book of abstracts, 2017) -
Epistemic Uncertainty Quantification in Deep Learning by the Delta Method
(Doctoral thesis, 2022-05-16)This thesis explores the Delta method and its application to deep learning image classification. The Delta method is a classical procedure for quantifying uncertainty in statistical models, but its direct application to ... -
Epistemic uncertainty quantification in deep learning classification by the Delta method
(Journal article; Peer reviewed, 2022)The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters . We propose a low ... -
Equitable access to cancer patient pathways in Norway – a national registry-based study
(Journal article; Peer reviewed, 2021)Background In 2015, cancer patient pathways (CPP) were implemented in Norway to reduce unnecessary non-medical delay in the diagnostic process and start of treatment. The main aim of this study was to investigate the ... -
Er konsum av melk og egg assosiert med risiko for kreft? Foreløpige resultater fra en prospektiv undersøkelse
(Peer reviewed; Journal article, 1997) -
Essays on Portfolio Risk Management and Weather Derivatives
(Doctoral thesis, 2023-08-25)Denne avhandlingen handler om utvikling og praktisk implementering av risikostyringsmetoder for investeringsporteføljer, energiporteføljer, og håndtering av vær- og forurensningsrisiko. Avhandlingen inkluderer tre ... -
Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements
(Peer reviewed; Journal article, 2018-07-20)One-compartment models are widely used to quantify hemodynamic parameters such as perfusion, blood volume and mean transit time. These parameters are routinely used for clinical diagnosis and monitoring of disease development ... -
Estimating the size of undetected cases of the COVID-19 outbreak in Europe: An upper bound estimator
(Journal article; Peer reviewed, 2020)Background While the number of detected COVID-19 infections are widely available, an understanding of the extent of undetected cases is urgently needed for an effective tackling of the pandemic. The aim of this work is ... -
Estimating the undetected infections in the Covid-19 outbreak by harnessing capture-recapture methods
(Journal article; Peer reviewed, 2020)Objectives A major open question, affecting the decisions of policy makers, is the estimation of the true number of Covid-19 infections. Most of them are undetected, because of a large number of asymptomatic cases. We ... -
Estimation and identifiability of kinetic parameters in dynamical models of biochemical reaction networks
(Doctoral thesis, 2020-02-18)This dissertation is a partial fulfillment of the requirements for the degree Doctor of Philosophy (PhD) at the Department of Mathematics, University of Bergen. The subject of the thesis is estimation of parameters in ... -
Estimation of AR parameters in time series with suddenly changing structure
(Statistical report no. 19, Research report, 1988-07) -
Estimering av permeabilitet med bruk av adaptiv parameterisering
(Master thesis, 2009-07-17) -
etrm: Energy Trading and Risk Management in R
(Journal article; Peer reviewed, 2022)This paper introduces etrm, an R package with tools for trading and financial risk management in energy markets. Contracts for electric power and natural gas differ from most other commodities due to the fact that physical ... -
Evaluating the suitability of close-kin mark-recapture as a demographic modelling tool for a critically endangered elasmobranch population
(Journal article; Peer reviewed, 2022)Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such ... -
Evolution of a narrow-band spectrum of random surface gravity waves
(Journal article, 2003-03) -
Evolutionary inference across eukaryotes identifies universal features shaping organelle gene retention
(Journal article; Peer reviewed, 2022)Mitochondria and plastids power complex life. Why some genes and not others are retained in their organelle DNA (oDNA) genomes remains a debated question. Here, we attempt to identify the properties of genes and associated ...