Essays about: "Monte Carlo modelling"
Showing result 1 - 5 of 64 essays containing the words Monte Carlo modelling.
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1. The application of financial analysis in business modelling : A case study of a public fast-charging station for electric heavy-duty vehicles in Sweden
University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomiAbstract : Background: Climate changes and global warming call for behaviour changes from mankind and for new business models to introduce sustainable innovations. Financial analysis plays an important role in guiding the choice of these business models. READ MORE
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2. Neutron Veto Inefficiency Studies with FLUKA for the LDMX Hadronic Calorimeter
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Dark matter accounts for about 85% of all matter in the Universe, yet its particle nature remains unknown. The Light Dark Matter eXperiment (LDMX) is a proposed fixed-target missing-momentum experiment that intends to probe the predominantly experimentally uncharted MeV-GeV mass range for "light dark matter". READ MORE
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3. Portfolio Risk Modelling in Venture Debt
University essay from KTH/Matematisk statistikAbstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE
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4. Credit Exposure Modelling Using Differential Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. READ MORE
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5. Modelling Large Protein Complexes
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : AlphaFold [Jumper et al., 2021, Evans et al., 2022] is a deep learning-based method that can accurately predict the structure of single- and multiple-chain proteins. However, its accuracy decreases with an increasing number of chains, and GPU memory limits the size of protein complexes that can be predicted. READ MORE