Sökning: "prediction uncertainty"

Visar resultat 1 - 5 av 117 avhandlingar innehållade orden prediction uncertainty.

  1. 1. Prediction and postdiction under uncertainty

    Författare :Hee-Cheol Kim; Linköpings universitet; []
    Nyckelord :HUMANITIES; HUMANIORA; HUMANIORA; HUMANITIES;

    Sammanfattning : An intelligent agency requires the capability to predict what the world looks like as a consequence of its actions. It also needs to explain present observations in order to infer previous states. This thesis proposes an approach to realize both capabilities, that is prediction and postdiction based on temporal information. LÄS MER

  2. 2. From data to decision - learning by probabilistic risk analysis of biological invasions

    Författare :Ullrika Sahlin; Biologiska institutionen; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; probabilistic models; establishment success; prediction; forecasting; uncertainty; risk; invasive species; Bayesian methods;

    Sammanfattning : Predicting an uncertain future with uncertain knowledge is a challenge. The success of efforts to preserve biodiversity, to maintain biosecurity and to reduce a negative impact from climate change, depend on scientifically based predictions of future events. LÄS MER

  3. 3. Observational Uncertainties in Water-Resources Modelling in Central America : Methods for Uncertainty Estimation and Model Evaluation

    Författare :Ida Westerberg; Sven Halldin; Jan Seibert; Lars-Christer Lundin; Chong-Yu Xu; Deliang Chen; Alberto Montanari; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Central America; Discharge; Flow-duration curve; Fuzzy regression; GLUE; Model evaluation; Non-stationarity; Observational uncertainty; Precipitation; Quality control; Rating curve; Regionalisation; Uncertainty estimation; Ungauged basins; Water resources; Avbördningskurva; Centralamerika; GLUE; icke-stationaritet; kvalitetskontroll; modellutvärdering; nederbörd; observationsosäkerheter; avrinningsområden utan vattenfö-ringsdata; oskarp regression; osäkerhetsuppskattning; regionalisering; varaktighetskurva; vattenföring; vattenresurser; Hydrology; Hydrologi; Hydrology; Hydrologi;

    Sammanfattning : Knowledge about spatial and temporal variability of hydrological processes is central for sustainable water-resources management, and such knowledge is created from observational data. Hydrologic models are necessary for prediction for time periods and areas lacking data, but are affected by observational uncertainties. LÄS MER

  4. 4. Spatial sampling and prediction

    Författare :Lina Schelin; Sara Sjöstedt-de Luna; Silvelyn Zwanzig; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Auxiliary variables; Censoring; Inclusion probabilities; Kriging; Local pivotal method; Minimum detection limit; Prediction intervals; Representative sample; Spatial process; Spatial sampling; Semiparametric bootstrap; Mathematical Statistics; matematisk statistik;

    Sammanfattning : This thesis discusses two aspects of spatial statistics: sampling and prediction. In spatial statistics, we observe some phenomena in space. Space is typically of two or three dimensions, but can be of higher dimension. LÄS MER

  5. 5. Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty

    Författare :Joonatan Mänttäri; John Folkesson; Michael Felsberg; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Trajectory Prediction; Computer Vision; Autonomous Driving; Deep Learning; Interpretability; Datalogi; Computer Science;

    Sammanfattning : Autonomous driving technologies have recently made great strides in development, with several companies and research groups getting close to producing a vehicle with full autonomy. Self-driving cars introduce many advantages, including increased traffic safety and added ride-sharing capabilities which reduce environmental effects. LÄS MER