Essays about: "non-parametric methods"

Showing result 1 - 5 of 76 essays containing the words non-parametric methods.

  1. 1. Point process learning for non-parametric intensity estimation with focus on Voronoi estimation

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Alexander Thorén; [2023-03-28]
    Keywords : ;

    Abstract : Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets which are then used in prediction errors. READ MORE

  3. 2. Evaluation of long-term health outcomes in patients with subacute and persistent musculoskeletal pain : A longitudinal study

    University essay from Mälardalens universitet/Akademin för hälsa, vård och välfärd

    Author : Adina König; [2023]
    Keywords : ;

    Abstract : Background: The present study evaluated changes in long-term health outcomes in patients with subacute and persistent musculoskeletal pain (MSP) treated in two conditions in primary healthcare settings. Investigated were also the relationships among these health outcomes. READ MORE

  4. 3. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods

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

    Author : Diogo Antunes; [2023]
    Keywords : Robust state estimation; Underwater localization; Target tracking; Gaussian mixture; AUV; Estimação robusta de estado; Localização subaquática; Rastreamento de alvos; Mistura Gaussiana; AUV; Robust tillståndsuppskattning; Undervattenslokalisering; Målspårning; Gaussisk blandning; AUV;

    Abstract : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. READ MORE

  5. 4. Exploring the Feasibility of Replicating SPAN-Model's Required Initial Margin Calculations using Machine Learning : A Master Thesis Project for Intraday Margin Call Investigation in the Commodities Market

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Clara Branestam; Amanda Sandgren; [2023]
    Keywords : Machine Learning; Market Risk; Initial Margin; SPAN-model; Central Counterparty Clearing; Margin Call;

    Abstract : Machine learning is a rapidly growing field within artificial intelligence that an increasing number of individuals and corporations are beginning to utilize. In recent times, the financial sector has also started to recognize the potential of these techniques and methods. READ MORE

  6. 5. Multi-scale Bark Beetle Predictions Using Machine Learning

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Albert Øhrman Wellendorf; [2023]
    Keywords : Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

    Abstract : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. READ MORE