Hot off the press. A preprint by @alecasa.bsky.social, Michael Fop and I. A new model for characterising and identifying adulteration in food authenticity studies. arxiv.org/abs/2512.13939
Posts by Alessandro Casa
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A latent variable model for identifying and characterizing food adulteration (Casa, Murphy, Fop) Recently, growing consumer awareness of food quality and sustainability has led to a rising demand for effective food authentication methods. Vibrational spectroscopy techniques have emerged a
@alecasa.bsky.social and Davide Ferrari (@unibz.bsky.social) tackle the problem of selecting the number of components in Gaussian mixture models, where traditional single-model criteria like BIC often overlook model selection uncertainty.
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I partecipanti, suddivisi in team, lavoreranno su dataset reali forniti da #Alperia e #GruppoDolomitiEnergia (sponsor dell’evento), sviluppando modelli predittivi e interpretazioni economiche innovative. @alecasa.bsky.social
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Confidence set for mixture order selection (Casa, Ferrari) A fundamental challenge in the application of finite mixture models is selecting the number of mixture components, also known as order. Traditional approaches rely on selecting a single best model using information criteria. Howev
First time using Bluesky to advertise a new preprint posted on arXiv! So here it is: a clever and more robust workaround to the single-best-model paradigm when selecting the number of components in the mixture modeling framework.
“L’attuale orientamento di X non è compatibile con i valori fondamentali di un’università come la Libera Università di Bolzano, basati su fatti, trasparenza e apertura verso il mondo.”
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