Essays about: "stochastic simulations"
Showing result 11 - 15 of 109 essays containing the words stochastic simulations.
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11. Inflation and Quantitative Tightening - A theoretical assessment of contractionary monetary policy and real economic activity
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Following the associated lockdown measures of the Covid-19 pandemic in 2020, the world economy started facing inflationary pressures from a surge in energy prices and supply chain disruptions at the end of 2021. Given the economic environment with low inflation and expansionary monetary policy following the Great Financial Crisis (GFC), central banks around the world have built up large balance sheets following the unconventional measure called Quantitative Easing (QE). READ MORE
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12. Copula Modelling of High-Dimensional Longitudinal Binary Response Data
University essay from KTH/Matematik (Avd.)Abstract : This thesis treats the modelling of a high-dimensional data set of longitudinal binary responses. The data consists of default indicators from different nations around the world as well as some explanatory variables such as exposure to underlying assets. READ MORE
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13. Impact of gradual increase in electric vehicle chargers in low voltage grids
University essay from Uppsala universitet/Institutionen för elektroteknikAbstract : The presence of EV chargers in low voltage distribution grids increases through both public-usefacilities and at-home installations. EV charger grid impact studies are commonly focused onlarger installations such as fast-charging stations and charging pole arrays, or consider one or afew scenarios with respect to at-home EV charger amounts. READ MORE
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14. A Study of Stochastic Resonance in a Climate model
University essay from KTH/FysikAbstract : Historically, the earth’s fluctuation between interglacial and glacial climates has been observedto have a period of 105 years [1]. However, simulations of the global average temperature didn’tmanage to reproduce this cycle period until 1982, when Benzi et al. READ MORE
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15. Risk Averse Path Planning Using Lipschitz Approximated Wasserstein Distributionally Robust Deep Q-Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : We investigate the problem of risk averse robot path planning using the deep reinforcement learning and distributionally robust optimization perspectives. Our problem formulation involves modelling the robot as a stochastic linear dynamical system, assuming that a collection of process noise samples is available. READ MORE