Searched for: subject%3A%22isotonic%255C+regression%22
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document
Bonnet, Damiaan (author)
The goal of this thesis is to implement and experiment with a Bayesian way of estimating a (smooth) monotone regression function by applying it to climate data. The method we use is proposed by Neelon and Dunson. This method uses a piece-wise linear model for the unknown regression function and enforces the monotonicity constraint by the...
bachelor thesis 2021
document
Vittorietti, M. (author), Hidalgo Garcia, J. (author), Sietsma, J. (author), Li, W. (author), Jongbloed, G. (author)
Investigating the main determinants of the mechanical performance of metals is not a simple task. Already known physically inspired qualitative relations between 2D microstructure characteristics and 3D mechanical properties can act as the starting point of the investigation. Isotonic regression allows to take into account ordering relations...
journal article 2021
document
Vittorietti, M. (author)
This thesis aims at the development of physical relations between the intricate 3D features of metallic microstructures and the mechanical properties of the material. For understanding which are the microstructural determinants of the resultingmechanical behaviour of metals, a deep quantitative characterisation of the microstructure is needed....
doctoral thesis 2020
document
Cheung, Tim (author)
In this modern age, data is being generated constantly and data is being saved for analysis everywhere. In the maritime industry, interest in the analysis of ship data has grown over the years. In this thesis, we will take a look at AIS data coupled with sea state data. AIS data is data generated from the ship, concerning the ship locations,...
master thesis 2020
document
Roth, Martin (author), Jongbloed, G. (author), Buishand, Adri (author)
The generalized Pareto distribution (GPD) is often used in the statistical analysis of climate extremes. For a sample of independent and identically distributed observations, the parameters of the GPD can be estimated by the maximum likelihood (ML) method. In this paper, we drop the assumption of identically distributed random variables. We...
journal article 2018
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