Sökning: "Bayesian model updating"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Bayesian model updating.

  1. 1. Stochastic model updating and model selection with application to structural dynamics

    Författare :Majid Khorsand Vakilzadeh; Chalmers University of Technology; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Finite element model; Bayesian model selection; Bayesian model updating; stochastic simulation; Bootstrapping; Subspace system identification; Uncertainty quantification;

    Sammanfattning : Uncertainty induced by our incomplete state of knowledge about engineering systems and their surrounding environment give rise to challenging problems in the process of building predictive models for the system behavior. One such challenge is the model selection problem, which arises due to the existence of invariably multiple candidate models with different mathematical forms to represent the system behavior, and so there is a need to assess their plausibility based on experimental data. LÄS MER

  2. 2. Environmental risk assessment of shipwrecks – Model development and application

    Författare :Hanna Landquist; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; SOCIAL SCIENCES; Bayesian updating; shipwreck; environmental risk assessment; fault tree analysis; decision support;

    Sammanfattning : Potentially polluting shipwrecks containing oil or other hazardous substances pose a threat to the marine environment. This is a global problem and many shipwrecks stem from the Second World War having been deteriorating on the sea floor since then. Only in Swedish waters more than 300 wrecks are estimated to pose an environmental threat. LÄS MER

  3. 3. Optimal strategies and information in foraging theory

    Författare :Emma Sernland; Högskolan i Skövde; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Bayesian foraging; information use; public information; prior information; negative binomial distribution; group foraging; decision-making; information updating; leaving strategy; Ecology; Ekologi; NATURAL SCIENCES; NATURVETENSKAP; Other biology; Övrig biologi; Naturvetenskap; Natural sciences; information use;

    Sammanfattning : In this thesis, I present both theoretical and empirical work where we have studied how humans and animals use information in situations where they need to continually update their information on the density of a resource. We have found that the amount of information, and the way the information is presented, are important factors for how well decisions are adapted to current circumstances. LÄS MER

  4. 4. On risk-coherent input design and Bayesian methods for nonlinear system identification

    Författare :Patricio E. Valenzuela Pacheco; Cristian Rojas; Daniel Rivera; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; input design; Bayesian methods; nonlinear models; risk theory; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : System identification deals with the estimation of mathematical models from experimental data. As mathematical models are built for specific purposes, ensuring that the estimated model represents the system with sufficient accuracy is a relevant aspect in system identification. LÄS MER

  5. 5. Robust analysis of uncertainty in scientific assessments

    Författare :Ivette Raices Cruz; Biologiska institutionen; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; expert knowledge; robust Bayesian analysis; scientific assessments; subjective probability; uncertainty analysis;

    Sammanfattning : Uncertainty refers to any limitation in knowledge. Identifying and characterizing uncertainty in conclusions is important to ensure transparency and avoid over or under confidence in scientific assessments. Quantitative expressions of uncertainty are less ambiguous compared to uncertainty expressed qualitatively, or not at all. LÄS MER