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Brus, Daniël (author)
In many fields we are interested in inference for a complex stochastic process given limited observations regarding its state over time. This thesis therefore introduces an expectation propagation approach to backward filtering forward guiding for high-dimensional finite-state space models. The backward filtering forward guiding method is first...
master thesis 2023
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Qin, Ziqiu (author)
In anti-cancer therapy, ntiangiogenic treatments are applied and take effect on the vascularization of tissue. To evaluate the efficacy of treatments, we adopt two methods to solve the physiological pharmacokinetic model’s parameter estimation problem, providing discrete, partial, and noisy observations of stochastic differential equations. One...
master thesis 2022
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Herben, Bjarne (author)
The breadth of theoretical results on efficient Markov Chain Monte Carlo (MCMC) sampling schemes on discrete spaces is slim when compared to the available theory for MCMC sampling schemes on continuous spaces. Nonetheless, in [Zan17] a simple framework to design Metropolis-Hastings (MH) proposal kernels that incorporate local information about...
bachelor thesis 2022
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Molenaar, Tobias (author)
The derivation of water quality indicators is of importance, especially in coastal areas, as most of the economic activities are located here. However, the availability of high-spatial-resolution water quality information in coastal zones is limited. Nowadays, high-resolution satellite data is becoming available and can fill in this knowledge...
master thesis 2021
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Schikhof, Phine (author)
Dit project vergelijkt drie verschillende kernels (Random Walk, Langevin en Barker) die gebruikt kunnen worden in het Metropolis-Hastings algoritme aan de hand van voorbeelden.
bachelor thesis 2021
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Pieper, Thorben (author)
The development of computationally ecient algorithms for statistical inference of stochastic dierential equations has been a long-standing research subject ever since the advent of stochastic analysis. Recently, there has been an increasing interest in extending these methods to the statistical study of stochastic partial dierential equations....
master thesis 2021
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Lu, Jenny (author)
In this bachelor thesis we propose a spatial Markov Chain Cellular Automata<br/>model for the spread of the COVID-19 virus as well as two methods for parameter<br/>estimation. Network topologies are used to model the progression of the epidemic<br/>by considering each individual on a grid and using stochastic principles to determine the...
bachelor thesis 2020
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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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de Groot, Olivier (author)
Free competition in the insurance markets increases the competitiveness and lowers the premiums. If insurers lower their premiums without having a model that accurately quantifies the expected claim size, they can be in serious trouble. This research aims to accurately model the premiums and quantify the uncertainty involved using historic...
master thesis 2017
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van der Meijden, Rune (author)
The rapid and uncertain penetration of distributed energy resources is changing the way people are consuming electricity. This development increases the risk of instability and congestion in the grid, posing great challenges to system operators in the near future. In order to optimally allocate resources and plan grid enhancement, distribution...
master thesis 2017
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Van Nee, M.M. (author)
The right training and equipment become increasingly more important in professional wheelchair sports such as wheelchair basketball. Individual performance characteristics need to be measured to be able to optimise for example wheelchair settings. Recently, a method using shimmer sensors has been developed and validated to measure speed,...
master thesis 2017
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de Groot, D.S. (author)
For telecommunication businesses it is important to retain as many customers as possible. For this purpose it could be useful to predict which customers have a high potential to stop their subscription. When a customer leaves the company by stopping the subscription, it is called a customer churn. In this thesis customer churn was predicted for...
master thesis 2017
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Jacobs, R. (author)
master thesis 2016
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Dam, M.A.C. (author)
The design of a mooring system can be a frustrating and time consuming task, owing to the large number of design cases, software interfaces and sometimes changing requirements. Although frequency domain is a faster method, the behavior of the FPSO and the loads on the turret mooring system in a certain environment is most accurately predicted in...
master thesis 2015
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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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Van Groeningen, D.T. (author)
We have investigated the possibility of using prior knowledge about a sample in order to improve the image quality of localisation microscopy. We assumed that all fluorescent molecules were aligned on one, or two parallel line segments and used this assumption to develop an estimator for the emitter locations and the line parameters. Using...
bachelor thesis 2015
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Selman, H.S. (author)
Nowadays, a high number of transactions are performed via internet banking. Rabobank processes more than 10 million transactions per day. Most of these transactions are (part of) normal behaviour. On the other hand, some transactions are considered to be out of the ordinary. These anomalous events occur relatively infrequently (less than 10 per...
master thesis 2015
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Alberts, J.S.C. (author)
Om de parameters van een model te kunnen schatten aan de hand van een dataset gebruiken we een relatief nieuwe methode, een Approximate Bayesian Computation (ABC) methode. Vervolgens bekijken we twee variaties op de standaard ABC methode. De eerste construeert een Markovketen die onder de juiste omstandigheden convergeert naar de verdeling die...
bachelor thesis 2014
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Wensveen, C.J. (author)
In this document two ways of pricing a freight option are discussed. First of all, we derive an explicit formula for the price of freight options. In the derivation of this formula, an important approximation was made. Therefore, it is not sure whether this formula is valid for pricing freight options. To check its validity, freight options are...
bachelor thesis 2013
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Bookholt, F.D. (author)
In this thesis, we learn the structure of a hybrid Bayesian network (mixed continuous and discrete) for a small data set and learn the parameters. We segment the learning process in distinct steps and evaluate the possible options for each step. After a short introduction into the theory of Bayesian networks, we cover the topics: data...
bachelor thesis 2013
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