Search for dissertations about: "Gibbs sampling"

Showing result 6 - 10 of 17 swedish dissertations containing the words Gibbs sampling.

2. 6. Semi Markov chain Monte Carlo

   Author : Håkan Ljung; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematics; Adaptive simulation; error-in-the-variables; Kullback-Leibler divergence; Markov chain simulation; Markov chain Monte Carlo; semi-regenerative; MATEMATIK; MATHEMATICS; MATEMATIK; matematisk statistik; Mathematical Statistics;

   Abstract : The first paper introduces a new simulation technique, called semi Markov chain Monte Carlo, suitable for estimating the expectation of a fixed function over a distribution π, Eπf(χ). Given a Markov chain with stationary distribution p, for example a Markov chain corresponding to a Markov chain Monte Carlo algorithm, an embedded Markov renewal process is used to divide the trajectory into different parts. READ MORE

4. 7. Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation

   Author : Samuel Wiqvist; Matematisk statistik; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; computational statistics; deep learning; mixed­-effects; sequential Monte Carlo; stochastic dif­ferential equations;

   Abstract : This doctoral thesis in computational statistics utilizes both Monte Carlo methods(approximate Bayesian computation and sequential Monte Carlo) and machine­-learning methods (deep learning and normalizing flows) to develop novel algorithms for infer­ence in implicit Bayesian models. Implicit models are those for which calculating the likelihood function is very challenging (and often impossible), but model simulation is feasible. READ MORE

5. 8. Bayesian inference in probabilistic graphical models

   Author : Felix Leopoldo Rios; Tatjana Pavlenko; Alun Thomas; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Graphical models; Bayesian inference; predictive classification; decomposable graphs; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

   Abstract : This thesis consists of four papers studying structure learning and Bayesian inference in probabilistic graphical models for both undirected and directed acyclic graphs (DAGs).Paper A presents a novel algorithm, called the Christmas tree algorithm (CTA), that incrementally construct junction trees for decomposable graphs by adding one node at a time to the underlying graph. READ MORE

6. 9. Assesing performance of PCR analysis using Bayesian modelling

   Author : Ronny Hedell; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Bayesian; Hierarchical model; PCR; Low-template DNA; Bacillus anthracis; Sensitivity; Forensic science; Forensic science;

   Abstract : Different analytical methods are available to analyse the DNA samples from crime scenes or to screen samples for the presence of some target bacterium. For this purpose a method known as Polymerase Chain Reaction (PCR) can often be used. READ MORE

7. 10. Bayesian Inference for Automotive Applications

   Author : Maryam Fatemi; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Abstract : Environment perception is an important aspect of modern automated systems. The perception consists of fusing information from different sensors to estimate variables which provide a description of the scene. READ MORE