Essays about: "generalized linear models"
Showing result 21 - 25 of 75 essays containing the words generalized linear models.
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21. Supervised Learning for Prediction of Tumour Mutational Burden
University essay from KTH/Matematisk statistikAbstract : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. READ MORE
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22. Modeling risk and price of all risk insurances with General Linear Models
University essay from KTH/Matematisk statistikAbstract : Denna kandidatexamen ligger inom området matematisk statistik. I samarbete med försäkringsbolaget Hedvig syftar denna avhandling till att utforska en ny metod för hantering av Hedvigs försäkringsdata genom att bygga en prissättningsmodell för alla riskförsäkringar med generaliserade linjära modeller. READ MORE
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23. Dynamic prediction of repair costs in heavy-duty trucks
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Pricing of repair and maintenance (R&M) contracts is one among the most important processes carried out at Scania. Predictions of repair costs at Scania are carried out using experience-based prediction methods which do not involve statistical methods for the computation of average repair costs for contracts terminated in the recent past. READ MORE
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24. An Extreme Value Approach to Age Limit Analysis
University essay from Lunds universitet/Matematisk statistikAbstract : A fundamental question in aging research is if the human lifespan has reached its maximum, as it has practical implications and affects the sustainability of our societies and health care systems. This thesis uses methods and techniques from extreme value theory to study human lifespan at extreme age, in particular the age at death of the world’s oldest person (WOP) titleholders. READ MORE
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25. Machine Learning and Telematics for Risk Assessment in Auto Insurance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Pricing models for car insurance traditionally use variables related to the policyholder and the insured vehicle (e.g. car brand and driver age) to determine the premium. READ MORE