Essays about: "sampler"

Showing result 1 - 5 of 39 essays containing the word sampler.

  1. 1. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning

    University essay from Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Author : Joar Lönngren; Ludwig Tiston; [2023]
    Keywords : Machine Learning; Neural Network; Cosmic Dust; Solar Orbiter; Space Physics; Space Dust;

    Abstract : 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

  2. 2. Analysing Regime-Switching and Cointegration with Hamiltonian Monte Carlo

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Jakob Brandt; [2023]
    Keywords : Time Series Econometrics; Regime-Switching; Cointegration; Markov Chain Monte Carlo; Hamiltonian Monte Carlo;

    Abstract : 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

  3. 3. Bayesian inference methods for parameter estimation : Implementation and benchmarking

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Sebastian Johansson; [2023]
    Keywords : ;

    Abstract : 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

  4. 4. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

    University essay from Lunds universitet/Matematisk statistik

    Author : Mika Persson; [2022]
    Keywords : Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

    Abstract : 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

  5. 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 radiologi

    Author : Amanda Eriksson; [2021]
    Keywords : Cerebral Blood Flow; CBF; oxygen-15-labelled water; PET CT; PET MR; Quantification of CBF; Image Derived Input Function; IDIF; Blood Sampled Input Function; BSIF; Arterial Input Function; AIF; Tracer Kinetic Modelling; Single Tissue Compartmental Model; 1TCM;

    Abstract : 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