Search results for "Clusterin"

Spatial Patterns of Regional Income Inequality Then and Now

2018

In this chapter an important element characteristic of territorial inequality is examined: the presence of geographical patterns, that is, the grouping of neighbouring regions into clusters of wealth or poverty. The descriptive evidence provided by the maps is supplemented with spatial autocorrelation statistics to test for the presence of spatial clustering. The analysis aims to identify when exactly the geographical patterns that characterize regional inequality in Spain today took shape. Then some hypotheses as to the causes are established. Finally, the chapter analyses whether the clusters of poor or rich regions continue uninterrupted beyond national borders to include regions of Port…

Das polyglanduläre Autoimmunsyndrom – Lebensqualität und familiäre Beteiligung

2014

Hintergrund und Fragestellung: Fur Patienten mit einem Polyglandularem Autoimmunsyndrom (PGA) und ihre Angehorigen liegen keine Daten zur familiaren Beteiligung und zur Lebensqualitat vor. Daher erfolgte eine Erhebung in einer reprasentativen Gruppe. Patienten und Methoden: Im Rahmen einer prospektiv angelegten und kontrollierten Studie wurden klinische und serologische Untersuchungen an 75 konsekutiv aufgenommenen Patienten mit PGA (mittleres Alter 47,5  ±  15,3 Jahre; 65,3 % Frauen) mit 108 Angehorigen (mittleres Alter 33,13 Jahre  ± 20,08 Jahre; 65,7% Frauen) durchgefuhrt. Drei validierte Messinstrumente (Short Form 36 [SF-36], Hospital Anxiety and Depression Scale [HADS] und Giesener Be…

Footprint Curvature in Spanish Women: Implications for Footwear Fit

2020

The incorrect adjustment of footwear produces alterations in the foot that affect quality of life. The usual measurements for shoe design are lengths, widths and girths, but these measures are insufficient. The foot presents an angle between the forefoot and the rearfoot in the transverse plane, which is associated with foot pronation, hallux valgus and metatarsus adductus. Here, we aimed at identifying the groups formed by the angulations between the forefoot and rearfoot using a sample of footprints from 102 Spanish women. The angle between the forefoot and rearfoot was measured according to the method described by Bunch. A cluster analysis was performed using the K-means algorithm. Footp…

A Measure of Polarization for Tourism: Evidence from Italian Destinations

2011

This paper proposes an index of polarization for tourism which links the axiomatic theory of Esteban and Ray with the classical hierarchical agglomerative clustering techniques. The index is aimed at analyzing the dynamics of the average length of stay across Italian destinations, and more specifically to detect whether the polarization within the set of clusters of places with similar values of the indicator has varied over time.

Penalized regression and clustering in high-dimensional data

The main goal of this Thesis is to describe numerous statistical techniques that deal with high-dimensional genomic data. The Thesis begins with a review of the literature on penalized regression models, with particular attention to least absolute shrinkage and selection operator (LASSO) or L1-penalty methods. L1 logistic/multinomial regression models are used for variable selection and discriminant analysis with a binary/categorical response variable. The Thesis discusses and compares several methods that are commonly utilized in genetics, and introduces new strategies to select markers according to their informative content and to discriminate clusters by offering reduced panels for popul…

Basic Chemometric Tools

2013

Abstract The authentication of protected designation of origin and other protected geographical indications for foods involves the need for a deep knowledge of these kinds of samples and the correct identification of appropriate markers that are suitable to be used for authentication purposes. For this, significance tests must be developed and applied to provide evidence in a fast and accurate way; from this, it seems clear that advances in analytical tools, to obtain data regarding food chemical composition, and chemometric data treatments must be continued to provide to the users powerful identification methodologies. In this sense, the objective must be to differentiate between foods pro…

Is the EUA a new asset class?

2022

The listing of a new asset requires knowledge of its statistical properties prior to its use for hedging, speculative or risk management purposes. In this paper, the authors study the stylised facts of European Union Allowances (EUAs) returns. The majority of the phenomena observed, such as heavy tails, volatility clustering, asymmetric volatility and the presence of a high number of outliers are similar to those observed in both commodity futures and financial assets. However, properties such as negative asymmetry, positive correlation with stocks indexes and higher volatility levels during the trading session, typical of financial assets, and the existence of inflation hedge and positive …

Probabilistic quantum clustering

2020

Abstract Quantum Clustering is a powerful method to detect clusters with complex shapes. However, it is very sensitive to a length parameter that controls the shape of the Gaussian kernel associated with a wave function, which is employed in the Schrodinger equation with the role of a density estimator. In addition, linking data points into clusters requires local estimates of covariance which requires further parameters. This paper proposes a Bayesian framework that provides an objective measure of goodness-of-fit to the data, to optimise the adjustable parameters. This also quantifies the probabilities of cluster membership, thus partitioning the data into a specific number of clusters, w…

ExtMiner : Combining multiple ranking and clustering algorithms for structured document retrieval

2006

This paper introduces ExtMiner, a platform and potential tool for information management in SMEs (small & medium-size enterprise), or for organizational workgroups. ExtMiner supports interactive and iterative clustering of documents. It provides users with a visual cluster and list views at the same time, supporting iterative search process. ExtMiner may also be applied as a platform for research on retrieval fusion, since it combines search, clustering and visualization algorithms. ExtMiner was evaluated with three document collections. Although the findings were encouraging the user interface and performance with large document repositories need further development. peerReviewed

Rings for privacy: An architecture for privacy-preserving user profiling

2014