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Multidimensional measures on Cantor sets
(2013-06-24)
Cantor sets in R are common examples of sets on which Hausdorff measures can be positive and
finite. However, there exists Cantor sets on which no Hausdorff measure is supported and finite.
The purpose of this thesis is ...
Design and analysis of pre-clinical experiments using a method combining multiple comparisons and modeling techniques for dose-response studies
(2021-04-20)
Abstract. Identifying and estimating the dose-response relationship between a compound and
a pharmacological endpoint of interest is one of the most important and difficult goals in the
preclinical stage of pharmaceutical ...
Numerical Analysis of Yield Curves Implied by Two-Factor Interest Rate Models
(2021-06-15)
Abstract
We investigate the yield curves implied by coupon bonds in models where the market short
rate is given by a two-factor stochastic model. Specifically, we investigate generalisations
of the two-factor Vasicek, ...
Volatility Curves of Incomplete Markets
(2020-06-23)
The graph of the implied volatility of call options as a function of the strike price
is called volatility curve. If the options market were perfectly described by the
Black-Scholes model, the implied volatility would ...
Optimal Auxiliary Variable Assisted Two-Phase Sampling Designs.
(2016-06-22)
Two-phase sampling is a procedure in which sampling and data collection is conducted
in two phases, aiming at achieving increased precision in estimation at reduced cost. The
rst phase typically involves sampling a large ...
Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
(2020-11-26)
Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopy
technique for 3D imaging of porous materials. We investigate three porous
samples of ethyl cellulose microporous films made from ...
Stochastic Partial Differential Equations with Multiplicative Noise - Numerical simulations of strong and weak approximation errors
(2015-06-23)
A finite element Galerkin spatial discretization together with a backward Euler
scheme is implemented to simulate strong error rates of the homogeneous stochastic
heat equation with multiplicative trace class noise in ...
Machine Learning for NCC's Concrete Pile Production
(2021-09-17)
In this thesis, the usefulness of machine learning (ML) is evaluated for the
processes of NCC's subsidiary company Hercules. It is evaluated with regard
to ML's ability to assist reduction of CO2 footprint and costs. The ...
Statistical Modelling of Pedestrian Flows
(2019-06-13)
Pedestrian counts and in particular their relation to the buildings in the vicinity of the streetandtothestructureofthestreetnetworkisofcentralinterestinthespacesyntax field. This report is concerned with using statistical ...
The noncommutative Shilov boundary
(2016-12-06)
We introduce Arveson's generalization of the Shilov boundary to the
noncommutative case and give a proof based on the work of Hamana
of the existence of the Shilov boundary ideal.
Moreover, we describe the Shilov boundary ...