Authors#

Aurea Grané#

Aurea Grané is Full Professor of Statistics and Operations Research at Universidad Carlos III de Madrid. She holds a PhD in Mathematics from the University of Barcelona.

Her scientific contributions are framed in four main lines of research whose common link is the development of non-parametric techniques based on distances with application to data of certain complexity. Thus, Professor Grané has made important contributions in the development of goodness-of-fit statistics for uniformity, exponential and normality tests, in distance-based statistical methods for data visualization, in predictive methods for functional data and in the development of tools for the detection of outliers in long financial series and in mixed data sets.

These works have been published in prestigious international journals such as Journal of the Royal Statistical Society: Series B Methodological, Journal of the Royal Statistical Society: Series A Statistics in Society, Computational Statistics and Data Analysis, Socio-Economic Planning Sciences, Journal of Banking and Finance, Ecology and Evolution, Social Indicators Research.

Since 2010 he has led several national research projects and collaborated in several European projects. He also collaborates with the Spanish Red Cross in the development of the Social Vulnerability Bulletins.

aurea

Fabio Scielzo-Ortiz#

Fabio Scielzo-Ortiz holds a degree in Statistics and Business and a Master in Big Data Analytics from Universidad Carlos III de Madrid. He is currently a PhD student in Statistics for Data Science at the same university and works as a Data Scientist at the UC3M-Santander Big Data Institute (IBiDat). His main interest is to contribute to the resolution of real problems through Data Science, understood as a multidisciplinary field.

fabio