Essays about: "Bayesian Estimation"

Showing result 1 - 5 of 94 essays containing the words Bayesian Estimation.

  1. 1. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

    University essay from Lunds universitet/Statistiska institutionen

    Author : Markus Gerholm; Johan Sörstadius; [2024]
    Keywords : Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

    Abstract : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. READ MORE

  3. 2. 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. 3. ESTIMATION OF RADIATION EXPOSURE FROM NATURALLY OCCURRING RADIONUCLIDES IN FOOD AND FOODSTUFF

    University essay from

    Author : Ida Bengtsson; [2022-01-13]
    Keywords : Medical physics; Naturally occurring radionuclides; committed effective dose from ingested radionuclides; Biokinetic models;

    Abstract : Purpose: The main purpose of this study was to provide an estimation of the committed effective dose received by the Swedish population from naturally occurring radionuclides (NORM) in the diet. This study was also aiming to investigate the impact on the committed effective dose due to the new developments in the biokinetic model for Po 210 . READ MORE

  5. 4. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Serghei Socolovschi; [2022]
    Keywords : Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

    Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE

  6. 5. 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