Essays about: "sampler"
Showing result 1 - 5 of 39 essays containing the word sampler.
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1. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning
University essay from Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenAbstract : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. READ MORE
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2. Analysing Regime-Switching and Cointegration with Hamiltonian Monte Carlo
University essay from Uppsala universitet/Statistiska institutionenAbstract : The statistical analysis of cointegration is crucial for inferring shared stochastic trends between variables and is an important area of Econometrics for analyzing long-term equilibriums in the economy. Bayesian inference of cointegration involves the identification of cointegrating vectors that are determined up to arbitrary linear combinations, for which the Gibbs sampler is often used to simulate draws from the posterior distribution. READ MORE
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3. Bayesian inference methods for parameter estimation : Implementation and benchmarking
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : In this study, three implementations of the nested sampling algorithm have been implemented, in the programming language Rust, compared and benchmarked. These variations consist of a classic version, closely resembling the first appearance of the algorithm, a version that produces samples from a single ellipsoid, and a version tha tuses multiple ellipsoids to generate its samples. READ MORE
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4. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
University essay from Lunds universitet/Matematisk statistikAbstract : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. READ MORE
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5. Quantification of cerebral blood flow with 15O-water PET : A comparison study between PET/CT and PET/MR and two different blood sampling instruments
University essay from Umeå universitet/Institutionen för fysik; Umeå universitet/Diagnostisk radiologiAbstract : Cerebral blood flow quantification is a vital diagnostic tool for disease monitoring and used for diagnosing a variation of pathological conditions. The human brain requires roughly about 20 % of the total cardiac output to sustain normal functioning, hence the perfusion of blood is an important factor to deliver oxygenated blood. READ MORE