Sökning: "Bayesian Estimation"
Visar resultat 1 - 5 av 104 uppsatser innehållade orden Bayesian Estimation.
1. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : 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. LÄS MER
2. Den historiskt bästa Formel-1 föraren
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : It is difficult to definitively say who the greatest Formula One driver is. It is a subjective assessment and can depend on a variety of factors, including the driver’s skill, their results and accomplishments, their team and car, and the era in which they competed. LÄS MER
3. Bayesian inference methods for parameter estimation : Implementation and benchmarking
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 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. LÄS MER
4. ESTIMATION OF RADIATION EXPOSURE FROM NATURALLY OCCURRING RADIONUCLIDES IN FOOD AND FOODSTUFF
Master-uppsats,Sammanfattning : 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 . LÄS MER
5. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER