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T. Rigon

4 papers hereh-index 9435 citations37 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4

identity via Semantic Scholar / OpenAlex

most citedAn enriched mixture model for functional clustering

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2020

Bayesian nonparametric modelling of sequential discoveries

Alessandro Zito, Tommaso Rigon, Otso Ovaskainen +1

We aim at modelling the appearance of distinct tags in a sequence of labelled objects. Common examples of this type of data include words in a corpus or distinct species in a sampl…

stat.ME2020

Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models

Sirio Legramanti, Tommaso Rigon, Daniele Durante

Network data often exhibit block structures characterized by clusters of nodes with similar patterns of edge formation. When such relational data are complemented by additional inf…

stat.ME2020★ 1 cited

A generalized Bayes framework for probabilistic clustering

Tommaso Rigon, Amy H. Herring, David B. Dunson

Loss-based clustering methods, such as k-means and its variants, are standard tools for finding groups in data. However, the lack of quantification of uncertainty in the estimated…

stat.ME2019★ 1 cited

An enriched mixture model for functional clustering

Tommaso Rigon

There is an increasingly rich literature about Bayesian nonparametric models for clustering functional observations. However, most of the recent proposals rely on infinite-dimensio…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.