The analysis of MTS is an established research area, and methods to carry it out have stemmed both from traditional statistics and from the Machine Learning and Computational Intelligence fields. In this chapter, we are mostly interested in the latter, but considering a mixed approach that can be ascribed to Statistical Machine Learning. MTS are often analyzed for prediction and forecasting and...

Nowadays, air pollution is a major threat for public health with clear relationships many diseases, especially cardiovascular ones. The spatiotemporal study of great interest governments and local authorities when deciding alerts or new city policies against increase. aim this work to profiles environmental data collected in the south France (Région Sud) by agency AtmoSud. idea better understan...

Guided by gaps in the literature with regard to the study of politicians the aim of the research is to explore cross-cultural differences in political leaders' style. It compares the MLQ (Avolio & Bass, 2004) scores of elected political leaders (N = 140) in Bulgaria and the UK. The statistical exploration of the data relied on multivariate analyses of covariance. The findings of comparisons acr...

The objective of this study was to identify correlates of household food insecurity and poor dietary diversity in rural Cambodia. Trained interviewers administered a survey to 900 households in four rural districts of Prey Veng Province, Cambodia. The Household Food Insecurity Access Scale (HFIAS) and Household Dietary Diversity Score (HDDS) were used to assess household food insecurity and die...

We are concerned with the issue of detecting changes of clustering structures from multivariate time series. From the viewpoint of the minimum description length (MDL) principle, we introduce an algorithm that tracks changes of clustering structures so that the sum of the code-length for data and that for clustering changes is minimum. Here we employ a Gaussian mixture model (GMM) as representa...

in this article the methodology proposed by li and wang for mixed qualitative and quantitative modeling and simulation of temporal behavior of processing unit is reexamined and extended to more complex case. the main issue of their approach considers the multivariate statistics of principal component analysis (pca), along with clustered fuzzy digraphs and reasoning. the pca and fuzzy clustering...