Browsing Masteruppsatser by Title
Now showing items 40-59 of 62
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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 ... -
Optimal design of dilution
(2013-12-20) -
Option Pricing for Continuous-Time Log-Normal Mixtures
(2012-06-08)In this thesis we study the log-normal mixture option pricing model proposed by Brigo and Mercurio [1]. This model is of particular interest since it is an analytically tractable generalization of the Black-Scholes option ... -
Point process learning for non-parametric intensity estimation with focus on Voronoi estimation
(2023-03-28)Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets ... -
Reconstructing point patterns from spatially aggregated data
(2024-03-13)In this thesis we explore the ability to reconstruct samples (point configurations) from a point process, based only on the information contained in spatially aggregated data, namely the number of points in the partitions ... -
Recovery of primal solutions from dual subgradient methods for mixed binary linear programming; a branch-and-bound approach
(2015-10-06)The main objective of this thesis is to implement and evaluate a Lagrangian heuristic and a branch-and-bound algorithm for solving a class of mathematical optimization problems called mixed binary linear programs. ... -
Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method
(2023-08-08)Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational ... -
RISK ESTIMATION FOR PERCEPTION FAILURES IN AUTOMATED DRIVING
(2021-06-15)The failure of sensors to perceive the environment correctly is one of the primary sources of risk that needs to be quantified in the development of active safety features for autonomous vehicles. By extracting training ... -
Robust Design and Analysis of Automotive Collision Avoidance
(2017-02-10)Automotive collision avoidance systems help the driver to avoid or mitigate a collision. The main objective of this project is to find a methodology to improve the performance of Volvo's automotive collision avoidance ... -
Robust Design and Analysis of Automotive Collision Avoidance Algorithms
(2019-06-17)Automotive collision avoidance systems help the driver to avoid or mitigate a collision. The main objective of this project is to find a methodology to improve the performance of Volvo’s automotive collision avoidance system ... -
Sequential Anomaly Detection for Log Data Using Deep Learning
(2021-06-14)Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an ... -
Simulation and statistical methods for stochastic differental equations
(2019-12-16)We look at numerical methods for simulation of stochastic differential equations exhibiting volatility induced stationarity. This is a property of the process which means that the stationary behaviour is mostly imposed ... -
Simulation and statistical methods for stochastic differental equations
(2019-12-11)We look at numerical methods for simulation of stochastic differential equations exhibiting volatility induced stationarity. This is a property of the process which means that the stationary behaviour is mostly imposed ... -
Singular and de Rham cohomology for the Grassmannian
(2015-09-16)We compute the Poincar e polynomial for the complex Grassmannian using de Rham cohomology. We also construct a CW complex on the Grassmannian using Schubert cells, and then we use these cells to construct a basis for the ... -
Solving Inverse PDE by the Finite Element Method
(2012-09-03)In this Master thesis project solving inverse PDE by the finite element method. An optimal control problems subjected to PDE constraint with boundary conditions is given. Construct the variational form then construct ... -
Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
(2023-08-23)Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of ... -
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 ... -
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 ... -
The New Economy - Knowledge Investments - Enterprises intangible investments - the new source of growth
(2017-03-15)Economic-based growth is increasingly becoming dependent on the wide range of intangible investments, known as knowledge-based capital (KBC) investments. Its rapid asset size growth has called for transparency in the ...