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Marrone, Camillo (author)
This thesis investigates the robustness of multivariate S-estimators, which are statistical methods used to estimate the location and covariance parameters of multivariate distributions. Outliers, or atypical observations, can significantly impact statistical analyses, leading to incorrect conclusions. Robust methods, such as S-estimators, aim...
bachelor thesis 2023
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Neves Almeida Lopes, Tamira (author)
When looking up to the sky and trying to detect the photons of far away stars that are still in formation, we can get access to knowledge we never had before. In order to do this, we must make sure we truly understand the nature of how photons behave in accordance to each other and to our detectors.In quantum optics we can see that these photons...
bachelor thesis 2022
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Barták, Patrik (author)
Causal machine learning deals with the inference of causal relationships between variables in observational datasets. <br/>For certain datasets, it is correct to assume a causal graph where information about unobserved confounders can only be obtained through noisy proxies, and CEVAE aims to address this case. <br/>The number of dimensions of...
bachelor thesis 2022
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van der Voort, J.C. (author)
The goal of this thesis is to estimate parameters in a bidimensional Ornstein-Uhlenbeck process, namely a diffusion model which can be found in Favetto and Samson (2010), which considers plasma and interstitium concentrations. We first look at a general linear stochastic differential equation and some properties. Then we simulate possible paths...
bachelor thesis 2020
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Becker, T. (author)
In this thesis several methods for variable selection for statistical models are examined. There is specific attention for variable selection in so called "dependent data", in which there exists a strong correlation between the independent variables.
bachelor thesis 2015
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Roseboom, J. (author)
Tijdens het varen zijn er verschillende data gemeten. In deze data zitten fouten. Vanwege de fouten zijn er aannames opgesteld. De aannames worden getoetst. De data wordt gecorrigeerd, gebruikmakend van gewogen gemiddelden en kubische splines
bachelor thesis 2015
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Smalbil, P.J. (author)
In statistics one often encounters the problem of estimating a function based on a given dataset. Sometimes shape properties such as monotonicity of the function are known. This property can be used in a non-parametric regression model. The iterative convex minorant(ICM) algorithm can be used to compute an estimate of a convex regression...
bachelor thesis 2015
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Velthoen, J.J. (author)
In extreme value theory the focus is on the tails of the distribution. The main focus is to estimate the tail distribution for a rounded data set. To estimate this tail distribution the extreme value index should be estimated, but due to the rounded data this extreme value index oscillates heavily. Therefore a correct estimate can not be...
bachelor thesis 2014
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Van der Aa, J.J.R.J.P. (author)
Certain banks offer its customers a new investment product, which is known as AEX-sparen. A minimal amount of 5000 Euro is put into a bank account and this will be returned after four months plus interest. The interest is the same as the AEX-Index has earned in the previous four months, but is maximized to 10 %. If the AEX-Index has gone down...
bachelor thesis 2011
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