Sökning: "Dirichlet distribution"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Dirichlet distribution.
1. Uncertainty quantification for neural network predictions
Magister-uppsats, Umeå universitet/StatistikSammanfattning : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. LÄS MER
2. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. LÄS MER
3. Approximating Quasistationary Distributions Using Deep Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : We study a class of It\={o} diffusion processes on domains with smooth boundary, at which the process is killed. Such a process, when conditioned on non-extinction, gives rise to a stationary state known as a \emph{quasistationary distribution} (QSD). LÄS MER
4. Rätt sida femprocentsspärren
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : This bachelor’s thesis in statistics explores frequentist and bayesian methods for parameter estimation and compares their usefulness when applied to opinion polls of party sympathies in the Swedish political system. Through simulation in R, random samples are generated from a population modelled after the Swedish electorate at various points during the 2010s and 2020s. LÄS MER
5. Is there macroeconomic predictive power in Swedish business news?
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This thesis explores if, and how, what is written in the newspaper can be used to forecast macroeconomic variables such as inflation, unemployment and consumption. A large data set consisting of articles from the largest Swedish business newspaper is transformed using different methods from the Natural Language Processing field. LÄS MER