Browsing Institutt for matematiske fag by Title
Now showing items 2042-2061 of 2364
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STI-GMaS: An open-source environment for simulation of sexually-transmitted infections
(Journal article; Peer reviewed, 2014)Background: Sexually-transmitted pathogens often have severe reproductive health implications if treatment is delayed or absent, especially in females. The complex processes of disease progression, namely replication ... -
Stochastic B-series and order conditions for exponential integrators
(Journal article; Peer reviewed, 2019)We discuss stochastic differential equations with a stiff linear part and their approximation by stochastic exponential Runge–Kutta integrators. Representing the exact and approximate solutions using B-series and rooted ... -
Stochastic differential equations - A study on Levy processes
(Master thesis, 2015)The main goal of this thesis is to understand, describe, and implement some of the techniques and methods used in a research article by Kohatsu-Higa, Tankov, and Ortiz-Latorre on the subject of optimal simulation schemes ... -
Stochastic dynamical response of a gear pair under filtered noise excitation
(Peer reviewed; Journal article, 2021)In this study, the stochastic dynamic response of a spur gear pair model under the excitation of filtered noise is investigated. The spur gear pair is modeled as a single degree of freedom (SDOF) system in which nonlinear ... -
Stochastic integrals and Gelfand integration in Fréchet spaces
(Journal article; Peer reviewed, 2022)We provide a detailed analysis of the Gelfand integral on Fréchet spaces, showing among other things a Vitali theorem, dominated convergence and a Fubini result. Furthermore, the Gelfand integral commutes with linear ... -
A Stochastic Locally Diffusive Model with Neural Network-Based Deformations for Global Sea Surface Temperature
(Peer reviewed; Journal article, 2021)In this work, we propose a new approach to model large, irregularly distributed spatio-temporal global data via a locally diffusive stochastic partial differential equation (SPDE). The proposed model assumes a local ... -
Stochastic Modeling and Statistical Inference of Geological Fault Populations and Patterns
(Dr. ingeniøravhandling, 0809-103X; 2000:51, Doctoral thesis, 2000)The focus of this work is on faults, and the main issue is statistical analysis and stochastic modeling of faults and fault patterns in petroleum reservoirs. The thesis consists of Part I-V and Appendix A-C. The units can ... -
Stochastic modelling and analysis of neutral tumor evolution. - Can neutral tumor evolution be inferred from real data?
(Master thesis, 2018)We develop a branching process with accumulating mutations to model neutral tumor evolution. Furthermore, by using this model, it will be shown in details which approximations and simplifications that are necessary in order ... -
Stochastic modelling and prediction of call data from TrønderTaxi.
(Master thesis, 2016)In this report we examine a data set from TrønderTaxi, which contains information about all phone calls their call center received from 1 March 2014 to 31 January 2016. We model the number of phone calls received per 30 ... -
Stochastic Modelling and Simulation for Transit Shipping along the Northern Sea Route
(Master thesis, 2010)Because of ice melting in the Arctic areas, there is an increasing interest in the possibilities for transit shipping from Western Europe to Eastern Asia along the Northern Sea Route. However, there is still too much ice ... -
Stochastic Models for Smoothing Splines: A Bayesian Approach
(Master thesis, 2011)Flexible data regression is an important tool for capturing complicated trends in data. One approach is penalized smoothing splines, where there are several mainstream methods. A weakness is, however, the quantification ... -
Stochastic Volatility Models
(Master thesis, 2023)I denne avhandlingen ble effektiviteten av Stokastiske Volatilitetsmodeller, med ARMA(p, q) log-volatilitet, undersøkt i forhold til GARCH(p, q) i å forutsi volatiliteten til finansielle tidsserier. Videre var målet å ... -
Stokastisk analyse av råtepotensial i huskledning
(Master thesis, 2007)Det er benyttet regresjonsanalyse for å analysere innsamlet data. For å unngå eller begrense effektene av multikolinearitet er ridgeregresjon tatt i bruk. Fordi målingene er korrelerte med hverandre er generaliserte ... -
Strategies for Petroleum Exploration on the Basis of Bayesian Networks: A Case Study
(Journal article; Peer reviewed, 2014)The paper presents a new approach for modeling important geologicalelements, such as reservoir, trap, and source, in a unified statistical model.This joint modeling of these geological variables is useful for reliableprospect ... -
Strategies for Risk Based Inspection of Corrosion Damage in Pipeline Systems
(Master thesis, 2019)Rør og andre konstruksjoner på oljeraffinerier er gjenstand for innvendig korrosjon over tid. Korrosjonen kan føre til lekkasjer og andre kostbare skader, og jevnlige inspeksjoner av rørenes tilstand er derfor nødvendig ... -
Stratification and the comparison between homological and tensor triangular support
(Peer reviewed; Journal article, 2023)We compare the homological support and tensor triangular support for ‘big’ objects in a rigidly-compactly generated tensor triangulated category. We prove that the comparison map from the homological spectrum to the tensor ... -
Stratification in tensor triangular geometry with applications to spectral Mackey functors
(Peer reviewed; Journal article, 2023) -
Stream-based active learning with linear models
(Journal article; Peer reviewed, 2022) -
Streamflow forecast sensitivity to air temperature forecast calibration
(Journal article; Peer reviewed, 2019)In this study, we used meteorological ensemble forecasts as input to hydrological models to quantify the uncertainty in forecasted streamflow, with a particular focus on the effect of temperature forecast calibration on ... -
Streamline-Based History Matching: A Review
(Research report, 2007)In recent years, several methods for streamline-based history matching have been developed. These methods have proved to be efficient for three reasons: First, streamlines delineate flow patterns and can therefore be used ...