Browsing Institutt for matematiske fag by Title
Now showing items 1587-1606 of 2364
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Parameter estimation in convolved categorical models
(Master thesis, 2010)In this thesis, we solve the seismic inverse problem in a Bayesian setting and perform the associated model parameter estimation. The subsurface rock layers are represented by categorical variables, which depends on some ... -
Parameter Estimation in Extreme Value Models with Markov Chain Monte Carlo Methods
(Master thesis, 2010)In this thesis I have studied how to estimate parameters in an extreme value model with Markov Chain Monte Carlo (MCMC) given a data set. This is done with synthetic Gaussian time series generated by spectral densities, ... -
Parameter selection for total variation regularization with applications in imaging
(Master thesis, 2020)Regulariseringsmetoder er ofte brukt for å løse inverse problemer. Spesielt har total variasjon- regulering vist seg å være effektiv for støyfjerning av bilder. Regulariseringsmetoder kr- ever vanligvis valg av én eller ... -
Parameter selection methods for variational image restoration
(Master thesis, 2021)Vi undersøker diskrepansprinsippet og ein L-hyperflate-metode som automatiserte parametervalmetodar i støyfjerningsproblem for bilete. Å velje optimale regulariseringsparametrar er alltid utfordrande, og utfordringa er ... -
Parametric spatial covariance models in the ensemble Kalman filter
(Peer reviewed; Journal article, 2019)Several applications rely on data assimilation methods for complex spatio-temporal problems. The focus of this paper is on ensemble-based methods, where some approaches require estimation of covariances between state ... -
Parametric Wavelet Estimation
(Master thesis, 2014)A method for parametric estimation of seismic wavelets from well logs and seismic data is developed. Parameters include amplitude, skewness, length and fluctuation order, and the link between parameters and wavelet properties ... -
Parametrization of multi-dimensional Markov chains for rock type modeling
(Master thesis, 2009)A parametrization of a multidimensional Markov chain model (MDMC) is studied with the goal of capturing texture in training images. The conditional distribution function of each row in the image, given the previous rows, ... -
Parasite prevalence increases with temperature in an avian metapopulation in northern Norway
(Peer reviewed; Journal article, 2019)Climate and weather conditions may have substantial effects on the ecology of both parasites and hosts in natural populations. The strength and shape of the effects of weather on parasites and hosts are likely to change ... -
Partial Orders in Representation Theory of Algebras
(Master thesis, 2008)In this paper we investigate some partial orders used in representation theory of algebras. Let $K$ be a commutative ring, $Lambda$ a finitely generated $K$-algebra and $d$ a natural number. We then study partial orders ... -
Partial Serre duality and cocompact objects
(Journal article, 2023) -
Particle Filtering Approaches for Atlantic Salmon Migration Based on Acoustic Telemetry Data
(Master thesis, 2020)Overlevelsesraten til migrerende laksesmolt kan reduseres på grunn av lakselussmitte. Den kan gjøre smolten mer sårbar overfor rovdyr og øke risikoen for å bli smittet av andre sykdommer. Innsikt i hvor smolten befinner ... -
Passivity-preserving splitting methods for rigid body systems
(Journal article, 2018)A rigid body model for the dynamics of a marine vessel, used in simulations of offshore pipe-lay operations, gives rise to a set of ordinary differential equations with controls. The system is input–output passive. We ... -
Path Algebras of Coverings and Twisted Tensor Products
(Master thesis, 2015)The first part of the thesis introduces and discusses the twisted tensor product of two algebras. This is then used to show how the path algebra of a covering quiver relates to the quiver it is a covering of. In the end ... -
Penalised complexity priors in hierarchical models
(Master thesis, 2022)Hierarkisk-dekomponerings(HD)-a-priori-fordelinger er et rammeverk for å konstruere samtidige a priori fordelinger for variansparametere i latente gaussiske modeller (LGMer) via en tre-struktur som gjenspeiler modellens ... -
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
(Journal article; Peer reviewed, 2017)In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model component to be a flexible extension of a ... -
Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python
(Peer reviewed; Journal article, 2020)In this work, we examine the performance and energy efficiency when using Python for developing HPC codes running on the GPU. We investigate the portability of performance and energy efficiency between CUDA and OpenCL; ... -
Performance prediction with a hierarchical poisson model using Template Model Builder
(Master thesis, 2020)I dette prosjektet bruker vi en hierariske poisson–log-normal angreps- og forsvars-modell for Eliteserien 2019 til å finne forventet sluttresultat i tabellen. Vi bruker forskjellige autoregressive tidsrekkemodeller til å ... -
Periodic Hölder waves in a class of negative-order dispersive equations
(Peer reviewed; Journal article, 2023)We prove the existence of highest, cusped, periodic travelling-wave solutions with exact and optimal α-Hölder continuity in a class of fractional negative-order dispersive equations of the form��+(|D|−��+�(�))�=0for every ... -
Periodic Orbits for Transcendental Hénon Maps
(Master thesis, 2018)This master thesis deals with periodic points of transcendental Hénon maps, a subject in complex dynamics. In particular, we investigate the existence of periodic points and the discreteness of the set of $k$-periodic ... -
Permeability Upscaling Using the DUNE-Framework: Building Open-Source Software for the Oil Industry
(Master thesis, 2009)In this thesis an open-source software for permeability upscaling is developed. The software is based on DUNE, an open-source C++ framework for finding numerical solutions of partial differential equations (PDEs). It ...