Search for dissertations about: "Gaussian process"

Showing result 11 - 15 of 141 swedish dissertations containing the words Gaussian process.

  1. 11. On flexible random field models for spatial statistics: Spatial mixture models and deformed SPDE models

    Author : Anders Hildeman; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Spatial statistics; Significant wave height; Spatial mixture model; Stochastic partial differential equation; Log-Gaussian Cox process; Point process; Gaussian random field; Substitute-CT;

    Abstract : Spatial random fields are one of the key concepts in statistical analysis of spatial data. The random field explains the spatial dependency and serves the purpose of regularizing interpolation of measured values or to act as an explanatory model. READ MORE

  2. 12. Resource-aware Wireless Process Control

    Author : Takuya Iwaki; Karl H. Johansson; Sophie Tarbouriech; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industrial process control; Networked control systems; Wireless network; Event-triggered control; Electrical Engineering; Elektro- och systemteknik;

    Abstract : To tackle the ever-growing demands on high-quality and cost-effective industrial production, recent developments in embedded sensing, wireless communication, and cloud computing offer great opportunities. Resource-aware reliable wireless communication and real-time control are needed to leverage these technologies. READ MORE

  3. 13. Tailoring Gaussian processes and large-scale optimisation

    Author : Carl Jidling; Thomas B. Schön; Niklas Wahlström; Adrian Wills; Lars Kai Hansen; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gaussian processes; Tomographic reconstruction; Large-scale optimisation; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : This thesis is centred around Gaussian processes and large-scale optimisation, where the main contributions are presented in the included papers.Provided access to linear constraints (e.g. equilibrium conditions), we propose a constructive procedure to design the covariance function in a Gaussian process. READ MORE

  4. 14. Spatial Mixture Models with Applications in Medical Imaging and Spatial Point Processes

    Author : Anders Hildeman; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Non-Gaussian; Bayesian level set inversion; Point processes; Substitute CT; Finite mixture models; Spatial statistics; Gaussian fields; Non-Gaussian;

    Abstract : Finite mixture models have proven to be a great tool for both modeling non-standard probability distributions and for classification problems (using the latent variable interpretation). In this thesis we are building spatial models by incorporating spatially dependent categorical latent random fields in a hierarchical manner similar to that of finite mixture models. READ MORE

  5. 15. Learning local predictive accuracy for expert evaluation and forecast combination

    Author : Oscar Oelrich; Mattias Villani; Francesco Ravazzolo; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian; forecast combination; predictive density; Gaussian process; bootstrap; Bayes factors; model selection; Bayesian predictive synthesis; nonparametric methods; power transformation; expected log predictive density; variable selection; statistik; Statistics;

    Abstract : This thesis consists of four papers that study several topics related to expert evaluation and aggregation. Paper I explores the properties of Bayes factors. Bayes factors, which are used for Bayesian hypothesis testing as well as to aggregate models using Bayesian model averaging, are sometimes observed to behave erratically. READ MORE