Browsing NTNU Open by Author "Tjelmeland, Håkon"
Now showing items 21-40 of 54
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Ensemble updating of categorical state vectors
Loe, Margrethe Kvale; Tjelmeland, Håkon (Peer reviewed; Journal article, 2022)An ensemble updating method for categorical state vectors is proposed. The method is based on a Bayesian view of the ensemble Kalman filter (EnKF). In the EnKF, Gaussian approximations to the forecast and filtering ... -
Estimation in credibility models using Bayesian hierarchical models
Høiback, Ole-Magnus (Master thesis, 2022)Kredibilitetsteori gir både fundamentet og den originale modellen for hvordan forsikringsbransjen predikerer forventet tap og prisnivåer (Bühlmann & Gisler, 2005). I moderne statistikk ser vi at kredibilitetsteori gir en ... -
Hierarchical Bayesian modeling of wind related transmission line failures
Wankel, Norunn Ahdell (Master thesis, 2019)Elektrisitet er viktig i dagens samfunn og noe vi nærmest tar for gitt at alltid skal være tilgjengelig. Det kan være mange grunner til at deler av kraftsystemet feiler, og vær er en av dem. I denne masteroppgaven formulerer ... -
Hierarchical ensemble Kalman filter formulated with sparse matrices
Gryvill, Håkon (Master thesis, 2020)Hierarkisk ensemble Kalmanfilter (HEnKF), introdusert i Omre og Myrseth (2010), er en utvidelse av ensemble Kalmanfilter (EnKF). Ved å ilegge en hierarkisk modell på state space-variablene har HEnKF vist å gi mer robuste ... -
Ignorance or awareness of changes measured in a probabilistic inference task
Kreis, Isabel Viola; Tjelmeland, Håkon; Biegler, Robert; Tröbinger, Luzia Rosa; Pfuhl, Gerit (Lecture, 2017) -
Informational cascades where individuals have uncertain knowledge about others' competence
Falnes, Ida Marie S. (Master thesis, 2020)Informasjonskaskader er et fenomen knyttet til beslutningstakning. De oppstår når rasjonelle individer betrakter det som optimalt å ignorere sin egen, private kunnskap, og heller velger å kopiere atferden til tidligere ... -
Konstruksjon av ikke-stasjonære binære markovfelt med spesifiserte marginalfordelinger
Kristiansen, Robert Andre (Master thesis, 2010)I denne rapporten har vi studert hvordan vi kan konstruere et ikke-stasjonært binært marovfelt med spesifiserte marginalfordelinger ved å modifisere et stasjonært markovfelt. Hensikten med dette er blant annet å kunne bruke ... -
Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior
Hammer, Hugo Lewi; Kolbjørnsen, Odd; Tjelmeland, Håkon; Buland, Arild (Journal article; Peer reviewed, 2012) -
Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering
Langaas, Mette; Buan, Aslak Bakke; Rønning, Frode; Tjelmeland, Håkon; Skauvold, Jacob; Thaule, Marius (Journal article, 2017)For studenter ved sivilingeniørutdanningen ved NTNU inngår fem grunnemner i matematikk i studieplanen. Tre av disse emnene, Matematikk 1 (første semester, 1700 studenter), Matematikk 2 (andre semester, 1400 studenter) og ... -
Modeling of decisions made by test persons in a dice task
Tandberg, Elsie Backen (Master thesis, 2022)Det er antatt å være en sammenheng mellom å ta forhastede avgjørelser og å være diagnostisert med schizofreni. Noen hevder at oppgaver som omhandler sannsynlighetsresonementer utført av både friske og schizofrene deltakere, ... -
Modelling and inference of cognitive parameters in jackdaws based on data from an investment problem
Lund, Scott Macody (Master thesis, 2018)Studying animal cognition is both interesting on its own, and because it can improve our understanding of human cognition. It can, for example, reveal when certain cognitive treats were developed in evolution. In this ... -
Modelling Decisions in the Box Task
Skogvang, Johanne (Master thesis, 2021)Et av de viktigste symptomene på schizofreni er vrangforestillinger. Mange med dette symptomet har vist seg å trekke forhastede slutninger uten å ha nok informasjon, de har da har et 'jumping to conclusions' (JTC) bias. ... -
Monte Carlo simulation of hyper-parameters in hidden Markov random fields
Luo, Xin (Master thesis, 2014)Bayesian inference is an important branch in statistical sciences. The subject of this thesis is about Bayesian inference in models for a vast number of dependent objects. The fundamental scheme used for the inference in ... -
Multiple Proposal Strategies for Markov Chain Monte Carlo
Stormark, Kristian (Master thesis, 2006)The multiple proposal methods represent a recent simulation technique for Markov Chain Monte Carlo that allows several proposals to be considered at each step of transition. Motivated by the ideas of Quasi Monte Carlo ... -
On approximations of the forward-backward algorithm for a switching linear Gaussian model.
Sundfør, Erik Aartun (Master thesis, 2009)In this report, the forward-backward algorithm is derived and explained for a one-layer and a two-layer Hidden Markov model. We describe the structure of the hidden Markov models, before we enter the world of the ... -
Overestimation of volatility in schizophrenia and autism? A comparative study using a probabilistic reasoning task
Kreis, Isabel Viola; Biegler, Robert; Tjelmeland, Håkon; Mittner, Matthias; Reitan, Solveig Merete Klæbo; Pfuhl, Gerit (Peer reviewed; Journal article, 2021)Background and objectives A plethora of studies has investigated and compared social cognition in autism and schizophrenia ever since both conditions were first described in conjunction more than a century ago. Recent ... -
Parallel Multiple Proposal MCMC Algorithms
Austad, Haakon Michael (Master thesis, 2007)We explore the variance reduction achievable through parallel implementation of multi-proposal MCMC algorithms and use of control variates. Implemented sequentially multi-proposal MCMC algorithms are of limited value, but ... -
Parameter estimation in a Markov mesh model by reversible jump MCMC simulation
Norstein, Johanne (Master thesis, 2012)We have a model for simulating facies values in a rock. We can use the model to find facies structures in a 2-dimensional area, which we can use to find properties of a rock in a petroleum reservoir. The model is a Markov ... -
Parametrization of multi-dimensional Markov chains for rock type modeling
Nerhus, Steinar (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, ... -
Prior specification for binary Markov mesh models
Luo, Xin; Tjelmeland, Håkon (Journal article; Peer reviewed, 2019)We propose prior distributions for all parts of the specification of a Markov mesh model. In the formulation, we define priors for the sequential neighborhood, for the parametric form of the conditional distributions and ...