Tommaso Rigon

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All published works

Action	Title	Year	Authors
+	Enriched Pitman–Yor processes	2025	Tommaso Rigon Sonia Petrone Bruno Scarpa
+ PDF Chat	Optimal lower bounds for logistic log-likelihoods	2024	Niccolò Anceschi Tommaso Rigon Giacomo Zanella Daniele Durante
+ PDF Chat	Bayesian analysis of product feature allocation models	2024	Lorenzo Ghilotti Federico Camerlenghi Tommaso Rigon
+ PDF Chat	Conjugate priors and bias reduction for logistic regression models	2023	Tommaso Rigon Emanuele Aliverti
+ PDF Chat	Bayesian modeling via discrete nonparametric priors	2023	Marta Catalano Antonio Lijoi Igor Prünster Tommaso Rigon
+ PDF Chat	A generalized Bayes framework for probabilistic clustering	2023	Tommaso Rigon Amy H. Herring David B. Dunson
+	Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors	2023	Alessandro Zito Tommaso Rigon David B. Dunson
+	Bayesian inference for generalized linear models via quasi-posteriors	2023	Davide Agnoletto Tommaso Rigon David B. Dunson
+ PDF Chat	An enriched mixture model for functional clustering	2022	Tommaso Rigon
+ PDF Chat	Finite-dimensional Discrete Random Structures and Bayesian Clustering	2022	Antonio Lijoi Igor Prünster Tommaso Rigon
+	Extended stochastic block models with application to criminal networks	2022	Sirio Legramanti Tommaso Rigon Daniele Durante David B. Dunson
+	Conjugate priors and bias reduction for logistic regression models	2022	Tommaso Rigon Emanuele Aliverti
+	Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa	2022	Alessandro Zito Tommaso Rigon David B. Dunson
+ PDF Chat	Conjugate Priors and Bias Reduction for Logistic Regression Models	2022	Tommaso Rigon Emanuele Aliverti
+ PDF Chat	Bayesian nonparametric disclosure risk assessment	2021	Stefano Favaro Francesca Panero Tommaso Rigon
+ PDF Chat	Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models	2020	Sirio Legramanti Tommaso Rigon Daniele Durante
+	Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models	2020	Sirio Legramanti Tommaso Rigon Daniele Durante
+	Sampling hierarchies of discrete random structures	2020	Antonio Lijoi Igor Prünster Tommaso Rigon
+	Extended Stochastic Block Models	2020	Sirio Legramanti Tommaso Rigon Daniele Durante David B. Dunson
+ PDF Chat	Tractable Bayesian density regression via logit stick-breaking priors	2020	Tommaso Rigon Daniele Durante
+	The Pitman–Yor multinomial process for mixture modelling	2020	Antonio Lijoi Igor Prünster Tommaso Rigon
+	Bayesian nonparametric modelling of sequential discoveries	2020	Alessandro Zito Tommaso Rigon Otso Ovaskainen David B. Dunson
+	Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models	2020	Sirio Legramanti Tommaso Rigon Daniele Durante
+	Extended Stochastic Block Models with Application to Criminal Networks	2020	Sirio Legramanti Tommaso Rigon Daniele Durante David B. Dunson
+	Enriched Pitman-Yor processes	2020	Tommaso Rigon Bruno Scarpa Sonia Petrone
+	A generalized Bayes framework for probabilistic clustering	2020	Tommaso Rigon Amy H. Herring David B. Dunson
+ PDF Chat	Conditionally Conjugate Mean-Field Variational Bayes for Logistic Models	2019	Daniele Durante Tommaso Rigon
+	Contributed discussion on: “Latent nested nonparametric priors”	2019	Emanuele Aliverti Sally Paganin Tommaso Rigon Massimiliano Russo
+	An enriched mixture model for functional clustering	2019	Tommaso Rigon
+ PDF Chat	A nested expectation–maximization algorithm for latent class models with covariates	2018	Daniele Durante Antonio Canale Tommaso Rigon
+ PDF Chat	Bayesian Semiparametric Modelling of Contraceptive Behaviour in India Via Sequential Logistic Regressions	2018	Tommaso Rigon Daniele Durante Nicola Torelli
+	Logit stick-breaking priors for partially exchangeable count data [Distribuzioni a priori stick-breaking logistiche per dati di conteggio parzialmente scambiabili]	2018	Tommaso Rigon
+	A note on quadratic approximations of logistic log-likelihoods	2017	Daniele Durante Tommaso Rigon
+	A nested expectation-maximization algorithm for latent class regression models	2017	Daniele Durante Antonio Canale Tommaso Rigon
+	Logit stick-breaking priors for Bayesian density regression	2017	Tommaso Rigon Daniele Durante
+	Tractable Bayesian Density Regression via Logit Stick-Breaking Priors	2017	Tommaso Rigon Daniele Durante
+	Tractable Bayesian Density Regression via Logit Stick-Breaking Priors	2017	Tommaso Rigon Daniele Durante

Common Coauthors

Coauthor	Papers Together
Daniele Durante	16
David B. Dunson	9
Sirio Legramanti	6
Emanuele Aliverti	4
Antonio Lijoi	4
Igor Prünster	4
Alessandro Zito	3
Sonia Petrone	2
Antonio Canale	2
Amy H. Herring	2
Bruno Scarpa	2
Otso Ovaskainen	1
Giacomo Zanella	1
Niccolò Anceschi	1
Marta Catalano	1
Nicola Torelli	1
Francesca Panero	1
Lorenzo Ghilotti	1
Stefano Favaro	1
Massimiliano Russo	1
Davide Agnoletto	1
Federico Camerlenghi	1
Sally Paganin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator	1997	Jim Pitman Marc Yor	9
+ PDF Chat	Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?	2013	Pierpaolo De Blasi Stefano Favaro Antonio Lijoi Ramsés H. Mena Igor Prünster Matteo Ruggiero	8
+ PDF Chat	A Bayesian Analysis of Some Nonparametric Problems	1973	Thomas S. Ferguson	8
+	Gibbs Sampling Methods for Stick-Breaking Priors	2001	Hemant Ishwaran Lancelot F. James	7
+ PDF Chat	Size-biased sampling of Poisson point processes and excursions	1992	Mihael Perman Jim Pitman Marc Yor	6
+ PDF Chat	Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables	2013	Nicholas G. Polson James G. Scott Jesse Windle	6
+ PDF Chat	Some developments of the Blackwell-MacQueen urn scheme	1996	Jim Pitman	6
+	Variational Inference: A Review for Statisticians	2017	David M. Blei Alp Kucukelbir Jon McAuliffe	5
+ PDF Chat	The Polya-Gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic	2013	Hee Min Choi James P. Hobert	5
+ PDF Chat	Models beyond the Dirichlet process	2010	Antonio Lijoi Igor Prünster	5
+ PDF Chat	Controlling the Reinforcement in Bayesian Non-Parametric Mixture Models	2007	Antonio Lijoi Ramsés H. Mena Igor Prünster	5
+	Bayesian Cluster Analysis: Point Estimation and Credible Balls (with Discussion)	2017	Sara Wade Zoubin Ghahramani	5
+ PDF Chat	On the Pitman–Yor process with spike and slab base measure	2017	Antonio Canale Antonio Lijoi Bernardo Nipoti Igor Prünster	4
+	Improving prediction from dirichlet process mixtures via enrichment	2014	Sara Wade David B. Dunson Sonia Petrone Lorenzo Trippa	4
+ PDF Chat	Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models	2011	Judith Rousseau Kerrie Mengersen	4
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+ PDF Chat	Exchangeable Gibbs partitions and Stirling triangles	2006	Alexander Gnedin Jim Pitman	4
+	Bayesian Density Estimation and Inference Using Mixtures	1995	Michael Escobar Mike West	4
+	Bayesian Nonparametric Estimation of the Probability of Discovering New Species	2007	Antonio Lijoi Ramsés H. Mena Igor Prünster	4
+	None	2000	Tommi Jaakkola Michael I. Jordan	4
+ PDF Chat	Probabilistic Community Detection With Unknown Number of Communities	2018	Junxian Geng Anirban Bhattacharya Debdeep Pati	3
+	Random Discrete Distributions	1975	J. F. C. Kingmán	3
+ PDF Chat	A review of stochastic block models and extensions for graph clustering	2019	Clement Lee Darren J. Wilkinson	3
+ PDF Chat	Nonparametric Bayesian modeling of complex networks: an introduction	2013	Mikkel N. Schmidt Morten Mørup	3
+	Bayesian nonparametric inference beyond the Gibbs‐type framework	2018	Federico Camerlenghi Antonio Lijoi Igor Prünster	3
+ PDF Chat	Model-based clustering based on sparse finite Gaussian mixtures	2014	Gertraud Malsiner‐Walli Sylvia Frühwirth‐Schnatter Bettina Grün	3
+	Markov Chain Sampling Methods for Dirichlet Process Mixture Models	2000	Radford M. Neal	3
+	Sequential models in categorical regression	1991	Gerhard Tutz	3
+ PDF Chat	Distribution theory for hierarchical processes	2018	Federico Camerlenghi Antonio Lijoi Peter Orbanz Igor Prünster	3
+ PDF Chat	Convex Mixture Regression for Quantitative Risk Assessment	2018	Antonio Canale Daniele Durante David B. Dunson	3
+	Bayesian inference with dependent normalized completely random measures	2014	Antonio Lijoi Bernardo Nipoti Igor Prünster	3
+	A Tutorial on MM Algorithms	2004	David R. Hunter Kenneth Lange	3
+ PDF Chat	Distributional results for means of normalized random measures with independent increments	2003	Eugenio Regazzini Antonio Lijoi Igor Prünster	3
+ PDF Chat	CONJUGATE PRIORS FOR GENERALIZED LINEAR MODELS	2003	Ming Hui Chen Joseph G. Ibrahim	3
+ PDF Chat	Fast unfolding of communities in large networks	2008	Vincent D. Blondel Jean‐Loup Guillaume Renaud Lambiotte Etienne Lefebvre	3
+ PDF Chat	Conjugate Priors for Exponential Families	1979	Persi Diaconis Donald Ylvisaker	3
+ PDF Chat	Community Detection and Stochastic Block Models	2018	Emmanuel Abbé	3
+ PDF Chat	Finding and evaluating community structure in networks	2004	Michelle G. Newman Michelle Girvan	3
+	Simulation Pseudo-Bias Correction to the Harmonic Mean Estimator of Integrated Likelihoods	2009	Peter Lenk	3
+	Monotonicity of quadratic-approximation algorithms	1988	Dankmar Böhning Bruce G. Lindsay	3
+ PDF Chat	How Many Communities Are There?	2015	Diego Franco Saldana Yi Yu Yang Feng	3
+ PDF Chat	Understanding predictive information criteria for Bayesian models	2013	Andrew Gelman Jessica Hwang Aki Vehtari	3
+	The EM Algorithm and Extensions	1998	Debashis Kushary Geoffrey J. McLachlan Thriyambakam Krishnan	3
+	Estimation and Prediction for Stochastic Blockstructures	2001	Krzysztof Nowicki Tom A. B. Snijders	3
+ PDF Chat	Mixture Models With a Prior on the Number of Components	2016	Jeffrey W. Miller Matthew Tom Harrison	3
+ PDF Chat	Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems	1974	C. Antoniak	3
+	Maximum likelihood estimation via the ECM algorithm: A general framework	1993	Xiao‐Li Meng Donald B. Rubin	3
+	Ferguson Distributions Via Polya Urn Schemes	1973	David Blackwell James B. MacQueen	3
+	Exact and approximate sum representations for the Dirichlet process	2002	Hemant Ishwaran Mahmoud Zarepour	3
+	Fundamentals of Nonparametric Bayesian Inference	2017	Subhashis Ghosal Aad van der Vaart	3