Essays about: "Multivariate approach"

Showing result 1 - 5 of 120 essays containing the words Multivariate approach.

  1. 1. Geometry of high dimensional Gaussian data

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Olof Samuel Mossberg; [2024]
    Keywords : HDLSS; high dimensional data; stochastic boundedness; asymptotic orthogonality; geometry; multivariate normal distribution; HDLSS; högdimensionell data; stokastisk begränsning; asymptotisk ortogonalitet; geometri; multivariat normalfördelning;

    Abstract : Collected data may simultaneously be of low sample size and high dimension. Such data exhibit some geometric regularities consisting of a single observation being a rotation on a sphere, and a pair of observations being orthogonal. This thesis investigates these geometric properties in some detail. READ MORE

  3. 2. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making

    University essay from Uppsala universitet/Luft-, vatten- och landskapslära

    Author : Anna Merle Liebenehm-Axmann; [2024]
    Keywords : Bias adjustment methods; future hydrological climate projections; statistical analysis; future streamflow analysis; biasjusteringsmetoder; framtida hydrologiska projektioner; statistisk analys; framtida vattenförings analys;

    Abstract : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. READ MORE

  4. 3. 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

  5. 4. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Shiwei Dong; [2023]
    Keywords : ;

    Abstract : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. READ MORE

  6. 5. Unsupervised Online Anomaly Detection in Multivariate Time-Series

    University essay from Uppsala universitet/Datorteknik

    Author : Ludvig Segerholm; [2023]
    Keywords : unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

    Abstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE