Essays about: "Bayesian Inference"
Showing result 16 - 20 of 73 essays containing the words Bayesian Inference.
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16. Inverse Uncertainty Quantification for Sounding Rocket Dispersion
University essay from KTH/Matematik (Avd.)Abstract : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. READ MORE
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17. Spatial Statistical Modelling of Insurance Claim Frequency
University essay from Lunds universitet/Matematisk statistikAbstract : In this thesis a fully Bayesian hierarchical model that estimates the number of aggregated insurance claims per year for non-life insurances is constructed using Markov chain Monte Carlo based inference with Riemannian Langevin diffusion. Some versions of the model incorporate a spatial effect, viewed as the relative spatial insurance risk that originates from a policyholder's geographical location and where the relative spatial insurance risk is modelled as a continuous spatial field. READ MORE
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18. Generative Modelling and Probabilistic Inference of Growth Patterns of Individual Microbes
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : The fundamental question of how cells maintain their characteristic size remains open. Cell size measurements made through microscopic time-lapse imaging of microfluidic single cell cultivations have posed serious challenges to classical cell growth models and are supporting the development of newer, nuanced models that explain empirical findings better. READ MORE
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19. Evaluation of Probabilistic Programming Frameworks
University essay from Uppsala universitet/Statistiska institutionenAbstract : In recent years significant progress has been made in the area of Probabilistic Programming, contributing to a considerably easier workflow for quantitative research in many fields. However, as new Probabilistic Programming Frameworks (PPFs) are continuously being created and developed, there is a need for finding ways of evaluating and benchmarking these frameworks. READ MORE
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20. Bayesian Structural Time Series in Marketing Mix Modelling
University essay from KTH/Matematik (Avd.)Abstract : Marketing Mix Modelling has been used since the 1950s, leveraging statistical inference to attribute media investments to sales. Typically, regression models have been used to model the relationship between the two. READ MORE