Searched for: subject%3A%22density%255C+estimation%22
(1 - 20 of 20)
document
Chen, Chao (author)
Given data from an observational study or a randomized experiment, the positivity assumption must hold in order to draw causal relations between the treatment and outcome. However, there is shortage of automatic tools that verify compliance with the positivity assumption. We present tools that uses adaptive and standard kernel density estimation...
bachelor thesis 2023
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Tjong, Jonathan (author)
For causal inference, sufficient overlap is needed. It is possible to use propensity scores with the positivity assumption to ensure overlap is present. However, positivity is not enough to properly identify the region of overlap. For this, propensity scores need to be used in combination with density estimation. This project aims to evaluate...
bachelor thesis 2023
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Popica, Tudor (author)
This research investigates the improvement of Kernel Density Estimation (KDE) comprehension in a university context via visualization-enhanced teaching. The study tackles KDE misconceptions, the efficacy of visual aids, and the role of previous mathematical and machine learning knowledge. Using a mix of literature review, survey, and...
bachelor thesis 2023
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Dobson, Daniel (author)
Street view imagery (SVI) is one of the largest (growing) resources in urban analytics. A global close-up of the urban environment, if you will, which is rich in (untapped) information such as floor count. Floor count is useful in many applications, from improving energy consumption calculations to creation of 3D city models without elevation...
master thesis 2023
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Wezeman, Robert S. (author), Neumann, N.M.P. (author), Phillipson, F. (author), Kooij, Robert (author)
In this paper we study encounter-based density estimation using different random walks and analyse the effects of the step-size on the convergence of the density approximation. Furthermore, we analyse different types of random walks, namely, a uniform random walk, with every position equally likely to be visited next, a classical random walk...
conference paper 2023
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den Boer, Dirk (author)
Accurate vehicle localization is considered to be a key element in future automated driving systems. A network of multiple sensors is employed to deliver information for this localization process. Loosely coupled integration of global navigation satellite systems (GNSS) and inertial navigation systems (INS) data is a common sensor-fusion method...
master thesis 2022
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Chang, Haoliang (author), Li, L. (author), Huang, Jianxiang (author), Zhang, Qingpeng (author), Chin, Kwai Sang (author)
Traffic congestion and accidents take a toll on commuters' daily experiences and society. Locating the venues prone to congestion and accidents and capturing their perception by public members is invaluable for transport policy-makers. However, few previous methods consider user perception toward the accidents and congestion in finding and...
journal article 2022
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Zhang, Liang (author), Chen, Pengfei (author), Li, M. (author), Chen, Linying (author), Mou, Junmin (author)
The consequences caused by bridge failures owing to the ship-bridge collision are always severe in terms of loss of life, economy, and environmental consequences to individuals and societies. The previous studies focused on the ship-bridge collision mainly concentrated on passive anti-collision, such as strengthening the bridge structure or...
journal article 2022
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Goudsmit, L. (author)
In the ocean resides a large amount of plastic. This has severe environmental consequences for the oceans. To be able to clean up all this plastic the location of the plastic is needed. A lot of times plastic is cleaned up at the source, but to clean up here this location needs to be known. However, what if the start location is not known and...
bachelor thesis 2020
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Groeneboom, P. (author)
We consider smooth nonparametric estimation of the incubation time distribution of COVID-19, in connection with the investigation of researchers from the National Institute for Public Health and the Environment (Dutch: RIVM) of 88 travelers from Wuhan: Backer et al. (2020). The advantages of the smooth nonparametric approach with respect to...
journal article 2020
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Tsang, Daniel (author)
Experimental data have been extracted from wound-healing time-lapse videos. These data include the detection of the area of the wound and the detection of individual cells. Extracting the area of the wound is done by using a function in Python OpenCV called cv2.findcontours. An improved method to extract the area of the wound is introduced as...
bachelor thesis 2019
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Gong, X. (author), Yang, J. (author), Daamen, W. (author), Bozzon, A. (author), Hoogendoorn, S.P. (author), Houben, G.J.P.M. (author)
City-scale events attract large amounts of attendees in temporarily re-purposed urban environments. In this setting, the real-time measurement of the density of attendees stationing in – or moving through – the event terrain is central to applications such as crowd management, emergency support, and quality of service...
journal article 2018
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Cattani, M. (author), Protonotarios, I. (author), Martella, Claudio (author), van Velzen, Joost (author), Zuniga, Marco (author), Langendoen, K.G. (author)
This paper reports our experience with crowd monitoring technologies in the challenging real-world conditions of a modern, open-space museum. We seized the opportunity to use the NEMO science center as a testbed, and studied the effectiveness of neighborhood discovery and density estimation algorithms in a network formed by visitors wearing...
conference paper 2017
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Pirgazi, H. (author), Glowinski, K. (author), Morawiec, A. (author), Kestens, L.A.I. (author)
Five macroscopic boundary parameters can be extracted from three-dimensional orientation maps. Serial sectioning, which includes consecutive steps of material removal, and electron backscatter diffraction (EBSD) measurement were employed to extract a stack of two-dimensional sections of a pure nickel sample. The EBSD patterns were collected from...
journal article 2015
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Boersma, S. (author)
The microstructure of an object of dual phase steel is modelled with an Oriented Cylinder Model, where the martensite grains in the steel object are modelled as oriented cylinders that are randomly distributed within a big block. By cutting this block parallel to the cylinder axes, rectangular visible profiles of the cut cylinders can be...
master thesis 2013
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An, F. (author)
Broadcasting by flooding is one of the most fundamental services for both wired and wireless networks. This also includes several sensor network applications that use broadcasting to spread information from one sensor node to the other sensor nodes in the entire sensor network. These wireless sensor networks have certain characteristics such as...
master thesis 2013
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Boks, A. (author)
Nowadays, Monte Carlo integration is a popular tool for estimating high-dimensional, complex integrals. Its scope of application can be widened if ways can be found to produce estimates with smaller variance at the same computational cost. Variance reduction techniques aim to accomplish this. In particular, using importance sampling with the so...
master thesis 2012
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Witte, B.I. (author)
Statistics deals with answering questions based on collected data. In medical applications, the quantity of interest can often not be observed directly. They are censored. It is a challenge to answer the question as precisely as possible based on the incomplete data. The quantity of interest can be censored in many different ways. In HIV vaccine...
doctoral thesis 2011
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Groeneboom, P. (author), Jongbloed, G. (author), Witte, B.I. (author)
We consider the problem of estimating the distribution function, the density and the hazard rate of the (unobservable) event time in the current status model. A well studied and natural nonparametric estimator for the distribution function in this model is the nonparametric maximum likelihood estimator (MLE). We study two alternative methods for...
journal article 2010
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Peddemors, A.J.H. (author)
In the past several years, personal mobile devices have developed rapidly as versatile computing platforms, capable of installing and running many different applications. Often, these devices are equipped with multiple (wireless) network interfaces supporting internet access through one or more networks. The availability of these networks is...
doctoral thesis 2009
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