Search for dissertations about: "mathematical modelling with bayesian"

Showing result 6 - 10 of 19 swedish dissertations containing the words mathematical modelling with bayesian.

  2. 6. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

    Author : Johan Dahlin; Thomas B. Schön; Fredrik Lindsten; Richard Everitt; Linköpings universitet; []
    Keywords : 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;

    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

  4. 7. Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling

    Author : Johan Lindström; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; vegetation; time series analysis; video segmentation; spatio-temporal modelling; precipitation; Markov chain Monte Carlo; Gaussian Markov random fields; expectation maximisation; change point detection; Bayesian recursive estimation; African Sahel; adaptive Gaussian mixtures;

    Abstract : In this thesis computationally intensive methods are used to estimate models and to make inference for large, spatio-temporal data sets. The thesis is divided into two parts: the first two papers are concerned with video analysis, while the last three papers model and investigate environmental data from the Sahel area in northern Africa. READ MORE

  5. 8. Domain Knowledge Assisted Robotic Exploration and Source Localization

    Author : Thomas Wiedemann; Achim Lilienthal; Dmitriy Shutin; Alcherio Martinoli; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mobile Robot Olfaction; Robotic Exploration; Gas Dispersion Modelling; Bayesian Inference; Sparse Bayesian Learning;

    Abstract : Deploying mobile robots to explore hazardous environments provides an advantageous way to avoid threats for human operators. For example, in situations, where airborne toxic or explosive material is leaking, robots can be dispatched to localize the leaks. READ MORE

  6. 9. Dynamic single-cell modelling of nutrient signalling in budding yeast

    Author : Sebastian Persson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; nutrient signalling; single-cell; mixed-effects models; stochastic dynamic models; Bayesian inference;

    Abstract : To survive in environments with constantly changing nutrient levels the bud- ding yeast Saccharomyces cerevisiae has a sophisticated nutrient sensing system. A central component of this system is the SNF1 signalling pathway, which primarily helps yeast adapt to glucose limited conditions. READ MORE

  7. 10. Statistical Methods for Taxon Classification and Bird Migration Phenology

    Author : Måns Karlsson; Ola Hössjer; Jonas Knape; Benjamin Bolker; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Classification; quantile regression; phenology; statistical ornithology; L-functionals; set-valued classification; species identification; statistical ecology; multispecies modelling; matematisk statistik; Mathematical Statistics;

    Abstract : The connection between ecology and statistics is deep. Methodological advancement in statistics open up new possibilities to understand the distribution of life on earth, and research questions in ecology cause new statistical methods to be developed. READ MORE