Essays about: "stochastic particle model"
Showing result 1 - 5 of 13 essays containing the words stochastic particle model.
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1. Diffusion and Camera-Noise Modelling for Analysis of Single-Particle Tracking Movies
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Interactions between T-cells and other body cells is an essential part of the immune system. It involves the binding between surface receptors of the two cells. Specifically, T-cell receptors (TCRs) bind onto pMHC (peptide-loaded major histocompatibility complex) molecules on the partnering cell surface. READ MORE
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2. Evaluation of a stochastic model of coherent turbulent structures for atmospheric particle deposition applications
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : In this thesis, we have evaluated a stochastic Lagrangian model for computing particle deposition rates with prospects to use for atmospheric deposition applications. The model is one-dimensional and models the particle dynamics in the boundary layers near walls and obstacles by simulating the coherent turbulent structures and Brownian motion governing the wall-normal transport. READ MORE
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3. Investigating Particle Cracking in Single- and Polycrystalline Nickel-Rich Cathodes using In Situ Impedance Spectroscopy
University essay from Uppsala universitet/StrukturkemiAbstract : State-of-the-art Li-ion cathode materials are based on LiMO2 (M=Ni, Mn, Co) layered transition metal oxides (denoted NMC) with Ni-rich composition because of their high specific capacity. Yet, these materials suffer from poor capacity retention due to crack formation during de-/lithiation cycling. READ MORE
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4. Estimating Risk Using Stochastic Volatility Models and Particle Stochastic Approximation Expectation Maximization
University essay from Lunds universitet/Matematisk statistikAbstract : In this thesis several stochastic volatility models are presented and used to estimate the risk of a collection of Swedish stocks, as well as of a portfolio consisting of said stocks. Model parameters are estimated using the PSAEM algorithm. READ MORE
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5. Particle-based Stochastic Volatility in Mean model
University essay from KTH/Matematisk statistikAbstract : This thesis present a Stochastic Volatility in Mean (SVM) model which is estimated using sequential Monte Carlo methods. The SVM model was first introduced by Koopman and provides an opportunity to study the intertemporal relationship between stock returns and their volatility through inclusion of volatility itself as an explanatory variable in the mean-equation. READ MORE