Tommaso Rigon

Computer ScienceMathematicsPhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Tractable Bayesian density regression via logit stick-breaking priors”.

Tractable Bayesian density regression via logit stick-breaking priors

Journal of Statistical Planning and Inference(2020)10.1016/j.jspi.2020.05.009

N/A

0DataRank · unranked

3 citations

Daniele Durante, Tommaso Rigon

Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models

BOA (University of Milano-Bicocca)(2022)10.1007/s13171-020-00231-2

N/A

0DataRank · unranked

3 citations

Tommaso Rigon, Daniele Durante, Sirio Legramanti

A generalized Bayes framework for probabilistic clustering

Biometrika(2023)10.1093/biomet/asad004

N/A

0DataRank · unranked

16 citations

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

Optimal and computationally tractable lower bounds for logistic log-likelihoods

arXiv (Cornell University)(2024)10.48550/arxiv.2410.10309

N/A

0DataRank · unranked

0 citations

Castiglione, Cristian, Tommaso Rigon, Giacomo Zanella, Daniele Durante, Niccolò Anceschi

Bayesian inference for generalized linear models via quasi-posteriors

Biometrika(2025)10.1093/biomet/asaf022

N/A

0DataRank · unranked

1 citations

Tommaso Rigon, David B. Dunson, Davide Agnoletto