Save date : All About That Bayes seminar series - Bayesian Nonparametrics, May 29, 2026

[All About That Bayes]

English version below

Chères et chers collègues,

la prochaine séance du séminaire "All About that Bayes Series" aura lieu le 29 mai 2026 ! 

Thème : Statistiques bayésiennes non paramétriques
Date : Vendredi 29 mai 2026
Heure : De 14h00 à 17h30
Lieu : salle Maryam Mirzakhani, Institut Henri Poincaré (IHP) - Sorbonne Université / CNRS, Paris 

Deux oratrices invitées :
Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)
Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 
Un(e) troisième orateur(trice) sera annoncé(e) prochainement.

L’après-midi est accessible à toutes et tous, mais merci d’indiquer votre participation en vous inscrivant via ce lien.

En espérant vous voir nombreuses et nombreux !

Bien cordialement,
Zacharie Naulet et Kaniav Kamary
Pour le Groupe Spécialisé « Statistique Bayésienne » de la Société Française de Statistique (SFdS)

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Dear colleagues,

the next session of the seminar “All About that Bayes Series” will take place on 29 May 2026!

Theme: Bayesian Nonparametrics
Date: Friday, 29 May 2026
Time: 2:00 – 5:30 PM
Location: Maryam Mirzakhani Room, Institut Henri Poincaré (IHP)- Sorbonne Université / CNRS, Paris

Two invited speakers:
Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)
Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 
A third speaker TBA soon.

The seminar is open to everyone, but please confirm your attendance by registering via  this link.

Looking forward to seeing many of you there!

Best regards,
Zacharie Naulet & Kaniav Kamary
On behalf of the Specialized Group “Bayesian Statistics” of the French Statistical Society (SFdS)

[All About That Bayes]

English version below

Chères et chers collègues,

comme annoncé précédemment, la prochaine séance du séminaire "All About that Bayes Series" aura lieu le 29 mai 2026 ! 

Thème : Statistiques bayésiennes non paramétriques
Date : Vendredi 29 mai 2026
Heure : De 14h00 à 17h30
Lieu : salle Maryam Mirzakhani, Institut Henri Poincaré (IHP) - Sorbonne Université / CNRS, Paris 

Deux oratrices invitées :
Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)
Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 

Dimitri Konen (Research Associate at Department of Pure Mathematics and Mathematical Statistics, University of Cambridge)

L’après-midi est accessible à toutes et tous, mais merci d’indiquer votre participation en vous inscrivant via ce lien.

En espérant vous voir nombreuses et nombreux !

Bien cordialement,
Zacharie Naulet et Kaniav Kamary
Pour le Groupe Spécialisé « Statistique Bayésienne » de la Société Française de Statistique (SFdS)

--------------------------------------------------------------------------------------------------------------------------------------------

Dear colleagues,

as previously announced, the next session of the seminar “All About that Bayes Series” will take place on 29 May 2026!

Theme: Bayesian Nonparametrics
Date: Friday, 29 May 2026
Time: 2:00 – 5:30 PM
Location: Maryam Mirzakhani Room, Institut Henri Poincaré (IHP)- Sorbonne Université / CNRS, Paris

Two invited speakers:
Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)
Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 

Dimitri Konen (Research Associate at Department of Pure Mathematics and Mathematical Statistics, University of Cambridge)

[All About That Bayes]

English version below

Chères et chers collègues,

petit rappel pour la prochaine séance du séminaire "All About that Bayes Series" aura lieu le 29 mai 2026 ! 

Thème : Statistiques bayésiennes non paramétriques

Date : Vendredi 29 mai 2026

Heure : De 14h00 à 17h30

Lieu : salle Maryam Mirzakhani, Institut Henri Poincaré (IHP) - Sorbonne Université / CNRS, Paris 

Les invitées :

Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)

Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 

Dimitri Konen (Research Associate at Department of Pure Mathematics and Mathematical Statistics, University of Cambridge)

L’après-midi est accessible à toutes et tous, mais merci d’indiquer votre participation en vous inscrivant via ce lien.

En espérant vous voir nombreuses et nombreux !

Bien cordialement,

Zacharie Naulet et Kaniav Kamary

Pour le Groupe Spécialisé « Statistique Bayésienne » de la Société Française de Statistique (SFdS)

--------------------------------------------------------------------------------------------------------------------------------------------

Dear colleagues,

quick reminder for the next session of the seminar “All About that Bayes Series” will take place on 29 May 2026!

Theme: Bayesian Nonparametrics

Date: Friday, 29 May 2026

Time: 2:00 – 5:30 PM

Location: Maryam Mirzakhani Room, Institut Henri Poincaré (IHP)- Sorbonne Université / CNRS, Paris

Invited speakers:

[All About That Bayes]

English version below

Chères et chers collègues,

petit rappel pour la prochaine séance du séminaire "All About that Bayes Series" aura lieu demain après-midi ! 

Les résumés des exposés se trouvent en bas du courriel et en pièce-joint.

Thème : Statistiques bayésiennes non paramétriques

Date : Vendredi 29 mai 2026

Heure : De 14h00 à 17h30

Lieu : salle Maryam Mirzakhani, Institut Henri Poincaré (IHP) - Sorbonne Université / CNRS, Paris 

Les invitées :

Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)

• Titre de l'exposé : On uncertainty quantification for nonparametric multivariate Hawkes processes

Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 

• Titre de l'exposé : Partially exchangeable enriched stochastic block models

Dimitri Konen, initialement prévu parmi les intervenants, ne pourra finalement pas donner son exposé.

L’après-midi est accessible à toutes et tous, mais merci d’indiquer votre participation en vous inscrivant via ce lien.

En espérant vous voir nombreuses et nombreux !

Bien cordialement,

Zacharie Naulet et Kaniav Kamary

Pour le Groupe Spécialisé  "Statistique Bayésienne" de la Société Française de Statistique (SFdS)

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Dear colleagues,

quick reminder for the next session of the seminar “All About that Bayes Series” will take place on tomorrow afternoon!

The abstracts of the talks can be found at the end of this email and in the attached file.

Theme: Bayesian Nonparametrics

Date: Friday, 29 May 2026

Time: 2:00 – 5:30 PM

Location: Maryam Mirzakhani Room, Institut Henri Poincaré (IHP)- Sorbonne Université / CNRS, Paris

Invited speakers:

Judith Rousseau (Professor at University of Oxford & CEREMADE, CNRS, Université Paris-Dauphine, PSL University)

• Talk title : On uncertainty quantification for nonparametric multivariate Hawkes processes

Louise Alamichel (Post-doctoral researcher at Bocconi University in Milan) 

• Talk title : Partially exchangeable enriched stochastic block models

Dimitri Konen, who was initially scheduled to speak, will unfortunately no longer be able to give his talk.

The seminar is open to everyone, but please confirm your attendance by registering via  this link.

Looking forward to seeing many of you there!

Best regards,

Zacharie Naulet & Kaniav Kamary

On behalf of the Specialized Group “Bayesian Statistics” of the French Statistical Society (SFdS)

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 Partially exchangeable enriched stochastic block models

By Louise Alamichel

Abstract.

Stochastic block models learn group structures between nodes sharing similar connectivity patterns. Recent developments have extended this approach to multiple connected networks, often within multilayer or multiplex architectures. However, most formulations still rely on the strong assumption that all networks share a single node partition. In many applications, this assumption is too restrictive: connected networks may exhibit distinct but hierarchically dependent clustering structures. For example, in criminal networks that track the number of meetings attended by criminals at different levels of the criminal organization, the clustering of nodes at one level may naturally fragment into more detailed communities at another level, reflecting different but related organizational principles. To address this, we introduce partially exchangeable enriched stochastic block models, a new class of Bayesian network models that jointly capture multiple layers of dependency through partially exchangeable priors on node partitions. Building on the partially exchangeable stochastic block model of Durante et al (2025), we extend its construction to an enriched framework where two partitions are linked by a nested structure. The first partition, which governs a node-colored network, is informed by the covariates of the nodes, while the second is generated by fragmenting this coarser structure into nested subgroups. This joint prior is derived from an enriched Gibbs-type process, ensuring partial exchangeability while flexibly adapting to shared and network-specific clustering behaviors. Inference is performed via a collapsed Gibbs sampler using a cut-posterior perspective to improve mixing. Preliminary results on simulated data and in a study of joint participation in summits within a complex mafia organization highlight the strengths of the proposed formulation and its ability to integrate and learn relevant structures in networks.