Essays about: "Prediction interval."
Showing result 1 - 5 of 58 essays containing the words Prediction interval..
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1. Uncertainty Estimation in Radiation Dose Prediction U-Net
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE
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2. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS
University essay from Uppsala universitet/Statistiska institutionenAbstract : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. READ MORE
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3. Calculating Value-at-Risk under the G-Normal distribution. : Applied with Swedish data.
University essay from Uppsala universitet/Nationalekonomiska institutionenAbstract : Value–at–Risk (VaR) since its birth at JPMorgan in the 1990s, has become widely adopted by first and foremost the financial industry, but in later days regulatory authorities as a way of calculating downside risk. The subject in hand has led to numerous attempts by both the industry as well as scholars to find the perfect settings to calculate VaR. READ MORE
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4. Modeling and quantifying uncertainty in bus arrival timeprediction
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Public transportation operates in an environment which, due to its nature of numerous possibly influencing factors, is highly stochastic. This makes predictions of arrival times difficult, yet it’s important to be accurate in order to adhere to travelers expectations. READ MORE
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5. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE