Essays about: "Metropolis algorithm."

Showing result 1 - 5 of 19 essays containing the words Metropolis algorithm..

  1. 1. Optimization and Bayesian Modeling of Road Distance for Inventory of Potholes in Gävle Municipality

    University essay from Stockholms universitet/Statistiska institutionen

    Author : Timothy Rafael Lindblom; Oskar Tollin; [2022]
    Keywords : Traveling salesman problem; Bayesian inference; Simulated annealing; Nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; Potholes; Haversine formula; Metropolis-Hastings; Posterior predictive distribution; Handelsresande problemet; bayesiansk inferens; simulerad anlöpning; nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; potthål; storcirkelavstånd; Metropolis-Hastings; posterior predictive distribution;

    Abstract : Time management and distance evaluation have long been a difficult task for workers and companies. This thesis studies 6712 pothole coordinates in Gävle municipality, and evaluates the minimal total road distance needed to visit each pothole once, and return to an initial pothole. READ MORE

  2. 2. High-performance Monte Carlo Computations for Adhesive Bands Formation

    University essay from Karlstads universitet

    Author : Karim Ali Shah; [2022]
    Keywords : Lattice model; Monte Carlo method; ternary mixtures; evaporation; morphology formation; adhesive bands.;

    Abstract : We propose a lattice model for three stochastically interacting components that mimicsthe formation of the internal structure of adhesive bands via evaporating one component(the solvent) by thermal gradient. We use high-performance computing resources toinvestigate the formation of rubber-acrylate morphologies. READ MORE

  3. 3. 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

  4. 4. Multiscale numerical approximation of morphology formation in ternary mixtures with evaporation : Discrete and continuum models for high-performance computing

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Mario Setta; [2021]
    Keywords : ;

    Abstract : We propose three models to study morphology formations in interacting ternary mixtures with the evaporation of one component. Our models involve three distinct length scales: microscopic, mesoscopic, and respectively, macroscopic. READ MORE

  5. 5. Markov Chain Monte Carlo (MCMC) and Bayesian Inference for Gravitational Waves

    University essay from Lunds universitet/Astronomi

    Author : Christine Andersson; [2021]
    Keywords : Gravitational Waves; LISA; LISA mission; Bayesian Inference; Markov Chain Monte Carlo; MCMC; Bayes’ Theorem; stochastic sampling; Metropolis Hastings; histograms; Physics and Astronomy;

    Abstract : The Laser Interferometer Space Antenna (LISA) is a space borne gravitational wave detec- tor set to launch in 2034, with the objective of detecting and studying the Gravitational Waves (GWs) of our universe. So far, ground-based detectors such as the Laser Interferometer Gravitational-Wave Observatory (LIGO) have been successful in detecting GWs, but the limitations of ground based detectors is what makes LISA so special. READ MORE