Blar i Institutt for matematiske fag på tittel
Viser treff 299-318 av 2401
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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 ... -
Beregning av Stokastiske Prosessers Sannsynlighetstetthet
(Master thesis, 2019)Oppgaven tar for seg ulike teknikker for å approksimere tettheter til stokastiske prosesser. Den tar også for seg metoder for a generer stokastiske prosesser, og deres egenskaper. Ulike metoder blir teste mot hverandre og ... -
Beregninger av Optimeringsproblemer i Statistisk Læring med TensorFlow
(Master thesis, 2016)Modeller i statistisk læring, spesielt Nevrale Nettverk, har blitt anvendt med stor suksess på en rekke problemer i Kunstig Intelligens. Denne oppgaven beskriver og demonstrerer TensorFlow, som er en softwarepakke laget ... -
Betydning av feilspesifisert underliggende hasard for estimering av regresjonskoeffisienter og avhengighet i frailty-modeller
(Master thesis, 2007)Med levetidsdata for et stort antall familier kan man bruke frailty-modeller til å finne risikofaktorer og avhengighet innad i familien. En måte å gjøre dette på er å anta en realistisk fordeling for frailty-variabelen og ... -
Bevis for algebraens fundamentalteorem - en utfordring i 264 år
(Master thesis, 2010)Oppgaven handler om algebraens fundamentalteorem. jeg vil se på historien til teoremet og gi flere ulike bevis for det. -
Bénard cells and pattern formation: A numerical investigation
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:231, Doctoral thesis, 2010) -
Bi-parameter Potential theory and Carleson measures for the Dirichlet space on the bidisc
(Journal article; Peer reviewed, 2023) -
Bias away from the Null due to miscounted outcomes? A case study on the TORCH trial
(Journal article; Peer reviewed, 2018)Count outcomes occur in virtually all disciplines, such as medicine, epidemiology or biology, but they often contain error. Recently, it has been shown that self-reported numbers of exacerbations of Chronic Obstructive ... -
Bidirectional Ratcheted Key Exchange Using Broadcasting
(Master thesis, 2023)We expand the definition of ratcheted key exchange given by Bellare, Singh, Jaeger, Nyayapati, and Stepanovs to allow bidirectional communication using broadcasting. We give a concrete scheme for ratcheted key exchange ... -
Bifurcation of Weakly Dispersive Partial Differential Equations
(Bachelor thesis, 2020)In this thesis we explore the use of local bifurcation theory toshow existence of small-amplitude traveling wave solutions to nonlinear dispersive partial differential equations that in a sense are generalizationsof the ...