Essays about: "horseshoe prior"

Found 3 essays containing the words horseshoe prior.

  1. 1. 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

  2. 2. Automated Bug Report Routing

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Caroline Svahn; [2017]
    Keywords : ;

    Abstract : As the software industry grows larger by the minute, the need for automated solutions within bug report management is on the rise. Although some research has been conducted in the area of bug handling, new, faster or more precise approaches are yet to be developed. READ MORE

  3. 3. Horseshoe RuleFit : Learning Rule Ensembles via Bayesian Regularization

    University essay from Linköpings universitet/Statistik

    Author : Malte Nalenz; [2016]
    Keywords : Bayesian Statistics; Regularization; Ensemble Learning; Decision Rules; Horseshoe prior; Machine Learning; Knowledge Discovery;

    Abstract : This work proposes Hs-RuleFit, a learning method for regression and classification, which combines rule ensemble learning based on the RuleFit algorithm with Bayesian regularization through the horseshoe prior. To this end theoretical properties and potential problems of this combination are studied. READ MORE