Sökning: "Risk information"

Visar resultat 16 - 20 av 2476 avhandlingar innehållade orden Risk information.

  1. 16. Dealing with uncertainty

    Författare :Jonas Clausen Mork; John Cantwell; Till Grüne-Yanoff; Terje Aven; KTH; []
    Nyckelord :HUMANIORA; HUMANITIES; safety factor; safety margin; uncertainty factor; uncertainty function; uncertainty; information; risk; risk assessment; risk management; epistemology; science; reasoning;

    Sammanfattning : Uncertainty is, it seems, more or less constantly present in our lives. Even so, grasping the concept philosophically is far from trivial. In this doctoral thesis, uncertainty and its conceptual companion information are studied. Axiomatic analyses are provided and numerical measures suggested. LÄS MER

  3. 17. A Systemic Approach Framework for Operational Risk : – SAFOR –

    Författare :Anna-Maria Kessler; Love Ekenberg; Mats Danielson; Tara Baidya; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; operational risk; systems thinking; decision analysis; interval forecasts; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : This thesis attempts to describe the essential systems features of a complex real-world domain of operational risk (OR) in banking, by employing general systems theory (GST) as the guiding method. An implementational framework (SAFOR) is presented for operational risk management (ORM), the target of which is to manage and mitigate the risk-around-loss causes. LÄS MER

  4. 18. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information

    Författare :Marc Girons Lopez; Jan Seibert; Sven Halldin; Thomas Grabs; Giuliano Di Baldassarre; Elena Toth; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; water management; data resolution; non-traditional data; floods; modelling; social memory; precipitation; runoff; social media; interpolation; data value; gestió de l’aigua; resolució de les dades; dades no tradicionals; inundacions; modelització; memòria social; precipitació; escorrentia; xarxes socials; interpolació; valor de les dades; avrinning; befolkningars minne; dataupplösning; datavärde; interpolering; mjuk information; modellering; nederbörd; sociala medier; vattenförvaltning; översvämning; gestión del agua; resolución de los datos; datos no tradicionales; inundaciones; modelización; memoria social; precipitación; escorrentía; redes sociales; interpolación; valor de los datos; Hydrology; Hydrologi;

    Sammanfattning : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. LÄS MER

  5. 19. Information Technology Outsourcing in Large Companies in Sweden : A Perspective on Risks, Relationships and Success Factors

    Författare :Georg Hodosi; Lazar Rusu; Björn Johansson; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; IT outsourcing; risk factors; important factors; ITO relationships; success factors; transaction cost theory; IT outsourcing decision makers; design science research; survey research; large companies; private companies; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : This thesis investigates large private companies in Sweden that have outsourced their information technology (IT). A considerable proportion of IT outsourcing (ITO) is unsuccessful. LÄS MER

  7. 20. Information-Theoretic Generalization Bounds: Tightness and Expressiveness

    Författare :Fredrik Hellström; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; information theory; neural networks; generalization; statistical learning; meta learning; PAC-Bayes; Machine learning;

    Sammanfattning : Machine learning has achieved impressive feats in numerous domains, largely driven by the emergence of deep neural networks. Due to the high complexity of these models, classical bounds on the generalization error---that is, the difference between training and test performance---fail to explain this success. LÄS MER