Essays about: "modelling insurance"

Showing result 1 - 5 of 31 essays containing the words modelling insurance.

  1. 1. MACHINE INSURANCE PREMIUM CALCULATIONS BASED ON CLAIM MODELS

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Hugo Sebyhed; [2023]
    Keywords : ;

    Abstract : The market for insurance continues to grow and expand. As insurance plays a part in our very own lives, it is important to understand how the premiums are calculated. In this thesis, this is done for machines, namely, cars and spindles. The premiums are calculated by combining claim frequency and claim severity. READ MORE

  3. 2. Data analytics for unemployment incurance claims : framework, approaches, and implementations strategies

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Jonathan Bergkvist; [2023]
    Keywords : Data analytics; Prediction model; Hybrid modelling;

    Abstract : Unemployment Insurance serves as a vital economic stabiliser, offering financial assistance and promoting workforce reintegration. In Sweden, occupation-specific unemployment funds, known as "Arbetslöshetskassan" (A-KASSAN), manage these claims. READ MORE

  4. 3. Estimating the risk of insurance fraud based on tonal analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Henrik Steneld; [2022]
    Keywords : Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Abstract : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. READ MORE

  5. 4. Spatial Statistical Modelling of Insurance Claim Frequency

    University essay from Lunds universitet/Matematisk statistik

    Author : Daniel Faller; [2022]
    Keywords : Insurance risk; claim frequency; Markov chain Monte Carlo MCMC ; Riemann manifold Metropolis adjusted Langevin algorithm MMALA ; spatial statistics; Gaussian Markov random field GMRF ; preconditioned Crank Nicolson Langevin algorithm pCNL ; Gibbs sampling; Bayesian hierarchical modelling; high dimensional; shrinkage prior; horseshoe prior; regularisation.; Mathematics and Statistics;

    Abstract : In this thesis a fully Bayesian hierarchical model that estimates the number of aggregated insurance claims per year for non-life insurances is constructed using Markov chain Monte Carlo based inference with Riemannian Langevin diffusion. Some versions of the model incorporate a spatial effect, viewed as the relative spatial insurance risk that originates from a policyholder's geographical location and where the relative spatial insurance risk is modelled as a continuous spatial field. READ MORE

  6. 5. An Extreme Value Approach to Modelling Construction Defect Insurance Claims

    University essay from Lunds universitet/Matematisk statistik

    Author : Matilda Ekermann; Ida Swartling; [2022]
    Keywords : Extreme value theory; insurance; block-maxima; peaks over threshold; Poisson process; Mathematics and Statistics;

    Abstract : Predicting future large claims, as well as the total cost, of a specific insurance is essential for insurance companies, for example when setting premium levels or purchasing reinsurance coverage. The purpose of this thesis is to investigate if extreme value theory can be applied to construction defect insurance claims. READ MORE