Search for dissertations about: "hierarchical Bayesian modelling"

Showing result 1 - 5 of 11 swedish dissertations containing the words hierarchical Bayesian modelling.

2. 1. 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

4. 2. Modelling of drug-effect on time-varying biomarkers

   Author : Felix Held; Göteborgs universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; cortisol; TNFα; hierarchical modelling; turnover model; pharmacokinetic pharmacodynamic modelling; cortisol TNFα hierarchical modelling turnover model pharmacokinetic pharmacodynamic modelling;

   Abstract : Model-based quantification of drug effect is an efficient tool during pre-clinical and clinical phases of drug trials. Mathematical modelling can lead to improved understanding of the underlying biological mechanisms, help in finding shortcomings of experimental design and suggest improvements, or be an effective tool in simulation-based analyses. READ MORE

5. 3. Prognostics and Health Management of Engineering Systems for Operation and Maintenance Optimisation

   Author : Madhav Mishra; Matti Rantatalo; Kai Goebel; Kalevi Huhtala; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Prognostics and Health Management PHM ; Diagnostics; Prognostics; Bayesian; Hierarchical; L10; Prediction; Bearing; Li-ion battery; RUL; Particle filter; Model-based; Data-driven; Algorithms; Railway track geometry; Operation and Maintenance Engineering; Drift och underhållsteknik;

   Abstract : Prognostics and health management (PHM) is an engineering discipline that aims to maintain system behaviour and function and ensure mission success, safety and effectiveness. Prognostics is defined as the estimation of remaining useful life. READ MORE

6. 4. Enhanced block sparse signal recovery and bayesian hierarchical models with applications

   Author : Jianfeng Wang; Jun Yu; Anders Garpebring; Jia Li; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Magnetic resonance imaging; Bayesian hierarchical models; Weather Research and Forecasting; Compressive sensing; Block sparsity; Multivariate isotropic symmetric a-stable distribution; q-ratio block constrained minimal singular value;

   Abstract : This thesis is carried out within two projects ‘Statistical modelling and intelligentdata sampling in Magnetic resonance imaging (MRI) and positron-emission tomography(PET) measurements for cancer therapy assessment’ and ‘WindCoE -Nordic Wind Energy Center’ during my PhD study. It mainly focuses on applicationsof Bayesian hierarchical models (BHMs) and theoretical developments ofcompressive sensing (CS). READ MORE

7. 5. Probabilistic Modelling of Domain and Gene Evolution

   Author : Sayyed Auwn Muhammad; Jens Lagergren; Bastien Boussau; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Phylogenetics; Phylogenomics; Evolution; Domain Evolution; Gene tree; Domain tree; Bayesian Inference; Markov Chain Monte Carlo; Homology Inference; Gene families; C2H2 Zinc-Finger; Reelin Protein; Computer Science; Datalogi;

   Abstract : Phylogenetic inference relies heavily on statistical models that have been extended and refined over the past years into complex hierarchical models to capture the intricacies of evolutionary processes. The wealth of information in the form of fully sequenced genomes has led to the development of methods that are used to reconstruct the gene and species evolutionary histories in greater and more accurate detail. READ MORE