Essays about: "Bayesian framework"

Showing result 1 - 5 of 60 essays containing the words Bayesian framework.

  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. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Natalia Andreeva; [2023-08-23]
    Keywords : ;

    Abstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE

  4. 3. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

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

    Author : Suresh Rishi Nandan; [2023]
    Keywords : Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Abstract : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. READ MORE

  5. 4. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

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

    Author : Shidi Zhou; [2023]
    Keywords : Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

    Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE

  6. 5. Spatial modeling with INLA for analysis of unequal care in Skåne

    University essay from Lunds universitet/Matematisk statistik

    Author : Julia Wierzchoslawska; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : The objective of this thesis is to extend on a previous analysis of health care accessibility for patients diagnosed with a chronic disease in Region Skåne. The previous analysis resulted in a logistic mixed effects model having municipality as a random effect and age as a first-degree spline-function. READ MORE