Essays about: "Likelihood functions"
Showing result 6 - 10 of 22 essays containing the words Likelihood functions.
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6. Design of a Smart Cart App for Automated Shopping in Supermarkets
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : I dagens samhälle blir många saker smartare, främst med hjälp av Internet of Things.En överblick på smart shopping visar att flera alternativa sätt att shoppa på harintroducerats under de senaste åren för att förbättra och effektivisera shopping. READ MORE
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7. The Largest Void and Cluster in Non-Standard Cosmology
University essay from Uppsala universitet/Teoretisk astrofysikAbstract : We employ observational data about the largest cosmic void and most massive galaxy cluster known to date, the 'Cold Spot' void and the 'El Gordo' cluster, in order to constrain the parameter |fR0| from the f(R) gravity formulation by Hu and Sawicki and the matter power spectrum normalization at present time, σ8. We obtain the marginalized posterior distribution for these two parameters through a Markov Chain Monte Carlo analysis, where the likelihood function is modeled through extreme value statistics. READ MORE
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8. DNA damage – a novel method to measure the rate of single-stranded breaks from fragmenting dsDNA in nanochannels – theory and modeling
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Damage to DNA can cause death to an individual cell and serious harm to the host organism. Photosensitized reactions are one cause of DNA damage. It can lead to destructive chemical reactions targeted to a base of the DNA as well as a breakage along one or both of the DNA strands. READ MORE
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9. Gaussian Process Multiclass Classification : Evaluation of Binarization Techniques and Likelihood Functions
University essay from Linnéuniversitetet/Institutionen för matematik (MA)Abstract : In binary Gaussian process classification the prior class membership probabilities are obtained by transforming a Gaussian process to the unit interval, typically either with the logistic likelihood function or the cumulative Gaussian likelihood function. Multiclass classification problems can be handled by any binary classifier by means of so-called binarization techniques, which reduces the multiclass problem into a number of binary problems. READ MORE
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10. Merton Jump-Diffusion Modeling of Stock Price Data
University essay from Linnéuniversitetet/Institutionen för matematik (MA)Abstract : In this thesis, we investigate two stock price models, the Black-Scholes (BS) model and the Merton Jump-Diffusion (MJD) model. Comparing the logarithmic return of the BS model and the MJD model with empirical stock price data, we conclude that the Merton Jump-Diffusion Model is substantially more suitable for the stock market. READ MORE