Blar i Institutt for matematiske fag på tittel
Viser treff 302-321 av 2527
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Bayesian multiresolution modeling of georeferenced data: An extension of ‘LatticeKrig’
(Peer reviewed; Journal article, 2022)‘LatticeKrig’ (LK) is a spatial model that is often used for modeling multiresolution spatial data with flexible covariance structures. An extension to LK under a Bayesian framework is proposed that uses integrated nested ... -
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields
(Journal article; Peer reviewed, 2012)A Bayesian multiscale technique for detection of statistically significant features in noisy images is proposed. The prior is defined as a stationary intrinsic Gaussian Markov random field on a toroidal graph, which enables ... -
Bayesian networks with applications in reliability analysis
(Dr. ingeniøravhandling, 0809-103X; 2002:121, Doctoral thesis, 2002)A common goal of the papers in this thesis is to propose, formalize and exemplify the use of Bayesian networks as a modelling tool in reliability analysis. The papers span work in which Bayesian networks are merely used ... -
Bayesian optimal experimental design for studying synaptic plasticity
(Master thesis, 2021)Hjernen er senteret av nervesystemet til både oss mennesker og andre arter. Nevroner er de fundamentale cellene i hjernen, som gir opphav til den komplekse og kraftige hjernen som vi innehar ved å kommunisere med hverandre ... -
Bayesian rock physics inversion using a localized ensemble-based approach - with an application to the Alvheim field
(Peer reviewed; Journal article, 2023)We describe, implement and show results of a localized ensemble-based approach for seismic AVO inversion with uncertainty quantification. Ensembles are simulated from continuous prior probability distributions for fluid ... -
Bayesian seismic amplitude variation with offset inversion for reservoir variables with bimodal spatial histograms
(Peer reviewed; Journal article, 2021)A Bayesian seismic amplitude versus offset (AVO) inversion scheme with a laterally coupled prior model for porosity, water saturation, and volume of clay is proposed. A 2-D section and a 3-D volume of an oil reservoir are ... -
Bayesian Seismic AVO Inversion
(Dr. ingeniøravhandling, 0809-103X; 2002:97, Doctoral thesis, 2002)Seismic analysis is a key element in successful exploration and production of natural resources. During the last decades, seismic methodology has had a significant progress with respect to both acquisition, processing and ... -
Bayesian Seismic AVO Inversion Using a Laterally Coupled Multimodal Prior Model
(Peer reviewed; Journal article, 2022)A Bayesian seismic amplitude versus offset (AVO) inversion scheme with a laterally coupled prior model for porosity, water saturation, and volume of clay is proposed. A 2-D section and a 3-D volume of an oil reservoir are ... -
Bayesian Seismic Lithology/Fluid Inversion Constrained by Rock Physics Depth Trends
(Master thesis, 2008)In this study we consider 2D seismic lithology/fluid inversion constrained by rock physics depth trends and a prior lithology/fluid Markov random field. A stochastic relation from porosity and lithology/fluid to seismic ... -
Bayesian spatial inversion and conjugate selection Gaussian prior models
(Peer reviewed; Journal article, 2021)We study conjugate prior models in Bayesian spatial inversion. The spatial Kriging model may be phrased in a conjugate Bayesian inversion setting with a Gaussian prior model and a Gauss-linear likelihood function, resulting ... -
Bayesian spatial modelling of non-stationary processes and misaligned data utilising Markov properties for computational efficiency
(Doctoral thesis at NTNU;2015:62, Doctoral thesis, 2015) -
Bayesian species distribution models integrate presence-only and presence–absence data to predict deer distribution and relative abundance
(Peer reviewed; Journal article, 2022)Using geospatial data of wildlife presence to predict a species distribution across a geographic area is among the most common tools in management and conservation. The collection of high-quality presence–absence (PA) data ... -
Bayesian statistical modelling and analysis of a DAS data set
(Master thesis, 2023)"Distributed acoustic sensing" (DAS) er et system som bruker fiber-optiske kabler som sensorer for å innhente seismisk informasjon fra området rundt kablene. I dette prosjektet analyserer vi et DAS-datasett fra Centre for ... -
Bayesian Text Categorization
(Master thesis, 2007)Natural language processing is an interdisciplinary field of research which studies the problems and possibilities of automated generation and understanding of natural human languages. Text categorization is a central ... -
Bayesianske metodar relevant for jernbanevedlikehald
(Master thesis, 2008)Jernbaneverket ønskjer å utnytte ressursane dei har til vedlikehald best mogleg. Systematisering og lagring av data om svikt og tilstand på dei utallege komponentane som utgjer det norske jernbanenettet i databasen BaneData ... -
Bayesianske nettverk kontra Monte Carlo simulering for estimering av produksjonsregularitet
(Master thesis, 2009)Denne masteroppgaven omhandler hvordan Bayesianske nettverk og Monte Carlo simulering kan bli brukt til å estimere produksjonsregulariteten til et system. De to metodene blir også sammenlignet med hverandre. Sammenligningen ... -
BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
(Journal article; Peer reviewed, 2014)Affinity capture of DNA methylation combined with high-throughput sequencing strikes a good balance between the high cost of whole genome bisulfite sequencing and the low coverage of methylation arrays. We present BayMeth, ... -
Behavioral decomposition reveals rich encoding structure employed across neocortex in rats
(Peer reviewed; Journal article, 2023)The cortical population code is pervaded by activity patterns evoked by movement, but it remains largely unknown how such signals relate to natural behavior or how they might support processing in sensory cortices where ... -
Benefits of spatio-temporal modelling for short term wind power forecasting at both individual and aggregated levels
(Research report, 2017)The share of wind energy in total installed power capacity has grown rapidly in recent years around the world. Producing accurate and reliable forecasts of wind power production, together with a quantification of the ... -
Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels
(Journal article; Peer reviewed, 2018)The share of wind energy in total installed power capacity has grown rapidly in recent years. Producing accurate and reliable forecasts of wind power production, together with a quantification of the uncertainty, is essential ...