About BAYSM
BAYSM 2026 is the 10th edition of the Bayesian Young Statisticians Meeting: the official conference of j-ISBA, the junior section of the International Society for Bayesian Analysis (ISBA). The meeting is held in person in even-numbered years, typically in conjunction with the ISBA World Meeting, and online in odd-numbered years.
BAYSM is a platform for connection within the Bayesian community.
The conference provides many opportunities for students and early career researchers to meet with established senior researchers and to build their professional networks. Research across the many domains where Bayesian methods are employed is promoted.
BAYSM 2026 will be held in June 26 - 27, 2026 at Chiba University, Chiba, Japan, just prior to the 2026 ISBA world meeting.
All attendees are expected to adhere to the ISBA code of conduct.
Information about previous BAYSM editions can be found here.
Event Starts In:
Venue
Chiba University
Nishi-Chiba Campus
1-33, Yayoicho, Inage-ku, Chiba-shi, Chiba, 263-8522 Japan
Chiba University is ideally located in the Tokyo metropolitan area. This encourages collaboration with leading companies and research institutions in this area. In addition to academic activities, students can enjoy many recreational facilities in city areas as well as nature in regional areas.
Getting there
2 min walk from Nishi-Chiba Station (JR) to the South Gate
7 min walk from Midoridai Station (Keisei) to the Main Gate
10 min walk from Tendai Station (Chiba Monorail) to the North Gate
Please visit this link for more information on accessing the campus.
Keynote Speakers
Blackwell-Rosenbluth Award Talks
Discussants
Mike West, Duke University
Shonosuke Sugasawa, Keio University
Kaoru Irie, The University of Tokyo
Schedule (tentative)
9:30 - 10:15
Coffee break
10:45 - 12:15
Bayesian generative models
Predictively Oriented Posteriors
Yann McLatchie, University College London
Bayesian Decision Support Using Complex Computer Models for Uncertain Utility Functions
Jonathan Owen, University of Sheffield
Horseshoe prior for implicit generative models
Shreya Sinha Roy, Warwick University
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
Mélodie Monod, Université Paris Dauphine
Yann McLatchie, University College London
Bayesian Decision Support Using Complex Computer Models for Uncertain Utility Functions
Jonathan Owen, University of Sheffield
Horseshoe prior for implicit generative models
Shreya Sinha Roy, Warwick University
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
Mélodie Monod, Université Paris Dauphine
Lunch break
13:45 - 15:00
Blackwell-Rosenbluth Award 1
Nianquiao Ju, Dartmouth College, TBA
Abstract →
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Beniamino Hadj-Amar, University of South Carolina, TBA
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Geoff Pleiss, University of British-Columbia, TBA
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Coffee break
15:30 - 17:00
Bayesian methods in Causal Inference and Network Science
Transporting Principal Causal Effects Across Strata: A Bayesian Causal Inference Approach
Veronica Ballerini, Harvard University
Bayesian latent factor models with tensor decomposed time-varying loadings for causal inference with unobserved confounding
Luke Hardcastle, University of Cambridge
Horseshoe prior for implicit generative models
Yiwei Gong, University of Texas at Austin
Multiscale network modeling of migration flows in Austria
Martina Contisciani, Central European University
Veronica Ballerini, Harvard University
Bayesian latent factor models with tensor decomposed time-varying loadings for causal inference with unobserved confounding
Luke Hardcastle, University of Cambridge
Horseshoe prior for implicit generative models
Yiwei Gong, University of Texas at Austin
Multiscale network modeling of migration flows in Austria
Martina Contisciani, Central European University
Poster session 1
Welcome reception
9:00 - 10:30
Advances in Bayesian computation and modeling
Spectral gap of Metropolis-within-Gibbs under log-concavity
Cecilia Secchi, Bocconi University
Bayesian Noise Contrastive Estimation for Unnormalized Models
Naruki Sonobe, Tokyo University of Science
Group-Coupled Bayesian Online Changepoint Detection
Patrick Woitschig, Duke University
Hierarchical Bayes Approach to Spatial Regression Analysis of Cellular Colocalizations in Cancer Imaging
Jessica Aldous, University of Michigan
Cecilia Secchi, Bocconi University
Bayesian Noise Contrastive Estimation for Unnormalized Models
Naruki Sonobe, Tokyo University of Science
Group-Coupled Bayesian Online Changepoint Detection
Patrick Woitschig, Duke University
Hierarchical Bayes Approach to Spatial Regression Analysis of Cellular Colocalizations in Cancer Imaging
Jessica Aldous, University of Michigan
Coffee break
11:00 - 12:15
Blackwell-Rosenbluth Award 2
Beatrice Franzolini, University of Milano-Bicocca, Multivariate Species Sampling Models
Abstract →
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Francesco Denti, University of Padova, TBA
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Jun Yang, University of Copenhagen, Sub-Cauchy Sampling: Escaping the Dark Side of the Moon
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Lunch break
13:45 - 14:30
Poster session 2
Closing remarks
Abstract submission (now closed)
We invite contributions on various topics related to Bayesian theory, methods, and applications. Fill in this form to submit your contribution.
Please submit an extended abstract of your contribution in PDF format. To ensure full consideration of your submission, please adhere to a limit of 700 to 1,000 words.
Abstract submission open: November 7th 2025
Submission deadline: January 30th 2026
Registration
Click the "Register" button below and complete the form.
If you wish to apply the j-ISBA member discount, you must first visit bayesian.org and log in (the login button is in the top right corner of the homepage). After logging in, return to the BAYSM2026 website and click the "Register" button below. Please ensure that the "Primary Email Address" field in the registration form is correct, as this is where you will receive both the payment receipt.
Registration will open: Monday, March 23 2026
ISBA and j-ISBA will be able to provide partial support for the conference registration fee of BAYSM 2026 via Travel Awards. Please fill out this form to apply: Application Form
Regular
200 USD
Early bird: 200 USD (May 30, 2026)
Late: 300 USD (after May 30, 2026)
j-ISBA members
100 USD
How to become a j-ISBA member
To become a j-ISBA member, you must first be an ISBA member. If you are not an ISBA member, you can enroll in both ISBA and j-ISBA here. Note that ISBA membership fees are reduced for early career researchers who have graduated from a degree program in the last 5 years.
If you are already an ISBA member but not yet a j-ISBA member, you can enroll in j-ISBA directly here.
Fee exempted
0 USD
People who reside in and work in countries with a per capita GNI not exceeding $6,000 per person are exempt from the conference registration fee.
Contacts
For any questions, please write to baysm2026@gmail.com .
j-ISBA website: https://j-isba.github.io
j-ISBA LinkedIn: https://www.linkedin.com/company/j-isba
j-ISBA website: https://j-isba.github.io
j-ISBA LinkedIn: https://www.linkedin.com/company/j-isba
Committees
Scientific committee
Filippo Ascolani, Duke University
Nicolas Bianco, Karlsruhe Institute of Technology
Jordan Bryan, University of Virginia
Francesco Denti, University of Padua
Beatrice Franzolini, University of Milan Bicocca
Edwin Fong, University of Hong Kong
Francesco Gaffi, University of Bergamo
Matteo Giordano, University of Turin
Clara Grazian, University of Sydney
Beniamino Hadj-Amar, University of South Carolina
Nianquiao Ju, Darthmouth College
Kazuhiko Kakamu, Nagoya City University
Yuki Kawakubo, Chiba University
Emma Landry, University of California Los Angeles
Francesca Panero, Sapienza University
Geoff Pleiss, University of British Columbia
Deborah Sulem, University of Italian Switzerland
Makoto Takahashi, Hosei University
Jun Yang, University of Copenhagen
Alessandro Zito, Harvard University
Organizing committee
Filippo Ascolani, Duke University
Jordan Bryan, University of Virginia
Francesco Gaffi, University of Bergamo
Matteo Giordano, University of Turin
Kazuhiko Kakamu, Nagoya City University
Yuki Kawakubo, Chiba University
Francesca Panero, Sapienza University
Makoto Takahashi, Hosei University
Alessandro Zito, Harvard University
