Essays about: "maximum likelihood"
Showing result 1 - 5 of 244 essays containing the words maximum likelihood.
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1. Using GIS and satellite data to assess access of green area for children living in growing cities
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Urban green space (UGS) refers to open spaces within an urban context that are filled with greenery and nature. These can range from very small vegetation to expansive park areas. The common denominator is that they have proven to be beneficial for human health and well-being. Access to green spaces is also important for children. READ MORE
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2. Evaluating probability weighting among lottery bond investors: an observational study on Cumulative Prospect Theory
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Cumulative Prospect Theory is a leading descriptive theory of decisions under uncertainty, backed up by a plethora of experimental evidence. This paper is one of the first to apply it to observational data. Risk attitudes in the bond market have not been studied in a CPT framework. We fill this research gap. READ MORE
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3. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. READ MORE
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4. A Statistical Approach to Understand the Evolution of Exotic Butterfly Species
University essay from KTH/Matematisk statistikAbstract : The alarming rate at which we see the decline in biodiversity due to human activity has raised concerns about the well-being of our planet. Butterflies which serve as pollinators are an essential part of many ecosystems and sensitive indicators of environmental changes and can provide valuable insight into how ecosystems function and evolve. READ MORE
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5. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
University essay from KTH/Matematisk statistikAbstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE