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Bayesian Inference for Disease Mapping: Comparing INLA and MCMC
(Master thesis, 2016)Using maps to illustrate the distribution of a particular disease in geographical regions of interest is disease mapping. Disease mapping data falls within the framework of hierarchical model with counts in regions which ... -
Bayesian inference for Markov mesh models – applied to inversion of seismic data
(Doctoral theses at NTNU;2019:16, Doctoral thesis, 2018)To characterize a petroleum reservoir there are different types of data available, for example, seismic data and observations in wells. In this scenario, it is natural to adopt a Bayesian framework to incorporate observations ... -
Bayesian Inversion and Inference of Categorical Markov Models with Likelihood Functions Including Dependence and Convolution
(Master thesis, 2015)A convolutional two-level Markov model is studied in this thesis. The bottom level contains a latent Markov chain, and given the variables, the middle contains a latent Gaussian random field. We observe the second level ... -
Bayesian Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction
(Peer reviewed; Journal article, 2019)The efficient assessment of convolved hidden Markov models is discussed. The bottom layer is defined as an unobservable categorical first-order Markov chain, whereas the middle layer is assumed to be a Gaussian spatial ... -
Bayesian inversion of seismic data using multimodal selection Gaussian prior models
(Doctoral theses at NTNU;2021:395, Doctoral thesis, 2021) -
Bayesian Inversion of Time-Lapse Seismic AVO Data for Multimodal Reservoir Properties
(Peer reviewed; Journal article, 2021)We consider time-lapse seismic amplitude versus offset (AVO) inversion for the reservoir properties porosity and water saturation, with a focus on monitoring the evolution of water saturation in a dynamic setting of ongoing ... -
Bayesian Inversion of Time-lapse Seismic Data using Bimodal Prior Models
(Master thesis, 2014)The objective of the current study is to make inference about reservoir properties from seismic reflection data. The inversion problem is cast in a Bayesian framework, and we compare and contrast three prior model settings; ... -
Bayesian Inversion of Well Log Data into Facies Units based on a Spatially Coupled Model
(Master thesis, 2006)Through a study of cored wells from the Statfjord Formation in the Tampen Area, we derive a spatially coupled classification model for facies units. We consider a Bayesian framework for the problem. A likelihood model is ... -
Bayesian Meta-analysis
(Doctoral theses at NTNU;2016:342, Doctoral thesis, 2016) -
Bayesian Model Averaging for Wind Speed Ensemble Forecasts Using Wind Speed and Direction
(Journal article; Peer reviewed, 2017)In this paper, probabilistic wind speed forecasts are constructed based on ensemble numerical weather prediction (NWP) forecasts for both wind speed and wind direction. Including other NWP variables in addition to the one ... -
Bayesian Model Averaging Using Varying Coefficient Regression and Climatology Cumulative Probability Regression - A Case Study of Postprocessing Hydrological Ensembles from Osali
(Master thesis, 2017)Bayesian Model Averaging Using Varying Coefficient Regression and Climatology Cumulative Probability Regression. -
Bayesian Mortality Modeling with Linearized Integrated Nested Laplace Approximations
(Master thesis, 2022)Prediksjon av dødelighet er et viktig verktøy innen for eksempel aktuarviten- skap og demografi. Mange populære dødelighetsmodeller inneholder multiplikative ledd som gjør at de ikke inkluderes i gruppen av modeller der ... -
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 ...