Essays about: "Simon Löw"
Found 4 essays containing the words Simon Löw.
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1. Statistical arbitrage : Can a pairs trading strategy beat a buy-and-hold strategy?
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this thesis, the aim is to investigate whether a pairs trading strategy on Swedish stocks can generate a higher risk-adjusted return compared to a buy-and-hold strategy on a benchmark index. The benchmark index is the OMX Stockholm Benchmark-index (OMXSBPI), which is an index that should reflect the Swedish market in general. READ MORE
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2. From Kyoto to Paris: A process tracing case study of environmental regimes
University essay from Lunds universitet/Statsvetenskapliga institutionenAbstract : This is a case study examines a possible regime shift between the Kyoto Protocol and the Paris Agreement. The study is using a theory consuming approach, with process tracing as the main instrument of analyzation. Using Keohane & Victor’s theory on regime complex, the two different regimes are highlighted: Kyoto and Paris. READ MORE
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3. Automatic Generation of Patient-specific Gamma Knife Treatment Plans for Vestibular Schwannoma Patients
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis a new fully automatic process for radiotherapy treatment planning with the Leksell Gamma Knife is implemented and evaluated: First, a machine learning algorithm is trained to predict the desired dose distribution, then a convex optimization problem is solved to find the optimal Gamma Knife configuration using the prediction as the optimization objective. The method is evaluated using Bayesian linear regression, Gaussian processes and convolutional neural networks for the prediction. READ MORE
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4. Automatic Generation of Patient-specific Gamma Knife Treatment Plans for Vestibular Schwannoma Patients
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis a new fully automatic process for radiotherapy treatment planning with the Leksell Gamma Knife is implemented and evaluated: First, a machine learning algorithm is trained to predict the desired dose distribution, then a convex optimization problem is solved to find the optimal Gamma Knife configuration using the prediction as the optimization objective. The method is evaluated using Bayesian linear regression, Gaussian processes and convolutional neural networks for the prediction. READ MORE
