Sökning: "metropolis algorithm"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden metropolis algorithm.

1. 1. Studies of magnetic multi-core nanoparticles for biomedical applications

   Författare :Vincent Schaller; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Metropolis algorithm; magnetic bioseparation; Monte Carlo method; Brownian dynamics; magnetic immunoassays; Magnetic multi-core nanoparticles; digital microfluidics; electrowetting-on-dielectric EWOD ;

   Sammanfattning : 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. LÄS MER

3. 2. Magnetic Multicore Nanoparticles: Magnetic Properties and Applications

   Författare :Vincent Schaller; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; digital microfluidics; magnetic multicore nanoparticles; magnetic separation; electrowetting-on-dielectric EWOD ; metropolis algorithm; magnetic immunoassays; Monte Carlo method;

   Sammanfattning : .... LÄS MER

4. 3. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

   Författare :Johan Dahlin; Thomas B. Schön; Fredrik Lindsten; Richard Everitt; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computational statistics; Monte Carlo; Markov chains; Particle filters; Machine learning; Bayesian optimisation; Approximate Bayesian Computations; Gaussian processes; Particle Metropolis-Hastings; Approximate inference; Pseudo-marginal methods;

   Sammanfattning : 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. LÄS MER

5. 4. Markov Chain Monte Carlo Methods and Applications in Neuroscience

   Författare :Federica Milinanni; Pierre Nyquist; Mark Clements; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Markov chain Monte Carlo; Large deviations; Subcellular pathway models; Markov chain Monte Carlo; Stora avvikelser; Subcellular pathway models; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

   Sammanfattning : 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. LÄS MER

7. 5. Numerical algorithms for high dimensional integration with application to machine learning and molecular dynamics

   Författare :Aku Kammonen; Anders Szepessy; Markos Katsoulakis; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Numerical Analysis; Numerisk analys;

   Sammanfattning : 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. LÄS MER