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Elena Barzizza on Muck Rack

Elena Barzizza

As seen in: Wiley Online Library, MDPI, Taylor & Francis Online
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Articles

Nonparametric Methods for Multivariate Association Testing

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By Elena Barzizza, Riccardo Ceccato, Solomon W. Harrar
| Wiley Online Library Verified
1 Introduction In practical applications like manufacturing, it is often crucial to connect the input factors, such as raw materials or controllable production parameters, with the final product's properties. For instance, in the production of special steels, understanding how the composition of chemical elements (e.g., nickel, copper or manganese) affects the final product's properties is essential.
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Combining textual and rating data from online reviews to cluster consumers

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By Elena Barzizza, Marta Disegna, Nicolò Biasetton, Luigi Salmaso
| Taylor & Francis Online
Abstract In today’s competitive global market, businesses seek a profound understanding of consumer behavior to gain a competitive edge. Leveraging Big Data and Web 2.0, companies can efficiently gather vast amounts of timely online information at minimal cost. Online review platforms like TripAdvisor ask users to provide textual reviews and ratings regarding the overall product/service and its key aspects.
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Multi‐aspect permutation tests for model selection

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By Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato
| Wiley Online Library Verified
1 INTRODUCTION The identification of a reliable model is fundamental to extracting useful and reliable insights from data and making reliable data-driven decisions. It requires a model which accurately represents the existing relationships in a dataset and is good at predicting both current and future (unobserved) data (Raschka, 2018).
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