Searched for: subject:"bayesian%5C+statistics"
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document
Kaak, Davey (author)
During a digital fraud investigation the search for relevant information in mailboxes of custodians is like finding a needle in a haystack. This time consuming task can, on various levels, be improved and made more efficient. Technology Assisted Review (TAR) is already one of the available machine learning algorithms that helps speeding up the...
master thesis 2019
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Wang, Tianxiang (author)
The rapid development in statistics, information technology, and computational power have en- abled numerous innovative methods to emerge in Structural Health Monitoring (SHM) for structural damage detection, both in practical application and research. The intention of such methods is to use the data obtained from the monitoring system to...
master thesis 2018
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Zoutendijk, Joran (author)
This thesis is on the subject of modelling the probability of default in a low default portfolio. In these portfolios there is a high risk of underestimating the true probability of default. Two models are considered, a Gaussian one factor model and a Poisson model with Gamma mixture. Classical estimation methods as the maximum likelihood are...
master thesis 2018
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de Vries, M.M. (author)
We start our introduction to DNA matching with the direct match case: we find DNA at a crime scene and find a direct match with a member of our database. To measure the strength of our case against the match, we use likelihoodratios. We differentiate between two different situations: the probable cause case, where we already suspect our match and...
bachelor thesis 2016
Searched for: subject:"bayesian%5C+statistics"
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