Search for dissertations about: "Forecasting methods"
Showing result 21 - 25 of 83 swedish dissertations containing the words Forecasting methods.
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21. The Heterogeneity of Behavior in Operations Processes : Empirical Evidence
Abstract : Behavioral science research has established that observed human behavior may deviate considerably from model suggestions. In addition to the realization that there is no such thing as standardized human behavior, there are also substantial differences in how people deviate from the model: Different individuals make dissimilar decisions in the same situation when using the same information. READ MORE
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22. Learning local predictive accuracy for expert evaluation and forecast combination
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
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23. Context-aware Human Motion Prediction for Robots in Complex Dynamic Environments
Abstract : Understanding human behavior is a key skill for intelligent systems that share physical and emotional spaces with humans. One of the main challenges to this end is the ability of such systems to make accurate predictions of human motion. READ MORE
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24. Spatiotemporal prediction of arbovirus outbreak risk : the role of weather and population mobility
Abstract : Background: Arboviruses such as dengue and chikungunya have been a significant public health burden globally for several decades. In Indonesia, all four dengue serotypes are circulating. READ MORE
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25. Prediction-driven approaches to discrete choicemodels with application to forecasting car typedemand
Abstract : Models that can predict consumer choices are essential technical support fordecision makers in many contexts. The focus of this thesis is to address predictionproblems in discrete choice models and to develop methods to increase the predictivepower of these models with application to car type choice. READ MORE