I like studying statistical problems.
Joined September 2019
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Very excited to give the next BNP webinar!
I will be talking about some recent works on feature allocation models and several generalizations 🎉
Next webinar organised by BNP-ISBA will be
DATE & TIME: 17:00 UTC on December 4th, 2024.
SPEAKER: Mario Beraha (Polytechnic of Milan)
TITLE: Bayesian analysis of (extended) feature allocation models: predictions, sufficientness, and applications
bnp-isba.github.io/webinars.…
Mario Beraha retweeted
📢I’m really proud of “Bayesian clustering of high-dimensional data via latent repulsive mixtures’’ just appeared on Biometrika, Advance articles, doi.org/10.1093/biomet/asae0…. Thank you to my terrific coauthors Lorenzo Ghilotti and @mberaha2.
Mario Beraha retweeted
📢The submission of contributed talks for the 14th International Conference on Bayesian Nonparametrics, UCLA (Los Angeles, US), June 23-27, 2025, is now OPEN! Deadline for submission: Dec 15, 2024.
Mario Beraha retweeted
Average temperatures by year, with the years listed in alphabetical order, and suddenly the climate crisis looks like a joke.
Mario Beraha retweeted
Warning: extremely difficult text to read below.
Last night I surrendered my phone and signed a waiver. And then I sat with a small group and an Israeli military attaché and we watched the 45 minute compilation of Hamas videos from October 7th.
1/12
Together with Stefano Favaro and Matteo Sesia, we just arXiv'd our latest take on frequency and cardinality estimation from compressed (sketched) data:
arxiv.org/abs/2309.15408
Hence, we adopt a pragmatic approach and propose the class "smoothed" estimators, which work very well in practice and are easy to compute! We extend the analysis to sketches obtained with multiple hash functions by drawing from the "multi-view" literature.
Hence, we adopt a pragmatic approach and propose the class "smoothed" estimators, which work very well in practice and are easy to compute! We extend the analysis to sketches obtained with multiple hash functions by drawing from the "multi-view" literature.
Mario Beraha retweeted
@mberaha2 and I have just published the first project we started collaborating 5 years ago! Meanwhile we have taken onboard 4 more coauthors, and I thank them all. See Childhood obesity in Singapore: A Bayesian nonparametric approach, SMJ OnlineFirst
Personal update. As of last week, I'm officially a Ph.D. in data science and computation. My thesis was on the statistical learning of RPMs, under the supervision of @AlessandraGugl9!
We also arXived the first two papers from my postdoc, joint works with Stefano Favaro.
Indeed, under a CRM prior, the predictive distribution of the number of "new" traits in an additional sample depends only on the sample size!
We propose a new class of priors derived from the scaled subordinators by James et al. (2015).