Search for dissertations about: "Metropolis algorithm"
Showing result 1 - 5 of 13 swedish dissertations containing the words Metropolis algorithm.
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1. Studies of magnetic multi-core nanoparticles for biomedical applications
Abstract : In recent years, there has been growing interest in using magnetic multi-core nanoparticles in biomedical applications, and particularly in bioseparation and biosensing. In this thesis, two computer simulation techniques have been implemented to study the magnetic response of these particles, and a microfluidic platform has been fabricated to manipulate bio-functionalized magnetic particles in suspension for immunoassays. READ MORE
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2. Magnetic Multicore Nanoparticles: Magnetic Properties and Applications
Abstract : .... READ MORE
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3. Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Abstract : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. READ MORE
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4. Markov Chain Monte Carlo Methods and Applications in Neuroscience
Abstract : An important task in brain modeling is that of estimating model parameters and quantifying their uncertainty. In this thesis we tackle this problem from a Bayesian perspective: we use experimental data to update the prior information about model parameters, in order to obtain their posterior distribution. READ MORE
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5. Numerical algorithms for high dimensional integration with application to machine learning and molecular dynamics
Abstract : This thesis contains results on high dimensional integration with two papers, paper I and paper II, presenting applications in machine learning and two papers, paper III and paper IV, presenting applications to molecular dynamics.In paper I we present algorithms based on a Metropolis test for training shallow neural networks with trigonometric activation functions. READ MORE