Announcement

Announcement

Dear BaYSM 2022 participants,

We are happy to announce that the call to submit a paper to the BaYSM 2022 Springer Proceedings in Mathematics and Statistics: https://www.springer.com/series/10533 is now open.

All BAYSM 2022 participants that contributed with a talk or poster are welcome to submit a paper by clicking the following link.

In order to ensure a timely publication of the book, we would kindly ask you to submit your contribution by sending the pdf file through the EquinOCS system by November 6th, 2022, 23:59 CET.

Step-by-step instructions for submission can be found here.

Submissions will be peer-reviewed by at least two reviewers. The key dates are:

  • Paper Upload (Until November 6, 2022 23:59 CET)
  • Assignment of Reviewers (Until November 15, 2022 23:59 CEST)
  • Reviews Due (Until December 31, 2022 23:59 CET)
  • Author Rebuttal/Revision Due (Until January 31, 2023 23:59 CEST)
  • Final Decision (Until February 15, 2022 23:59 CET)

The language of publication will be English. Each contribution should be a maximum of 9 pages, including tables and illustrations but excluding references. You are kindly invited to prepare your paper following the Springer template available here and on the BaYSM2022 webpage (remember the template has been changed from previous years). Only the pdf file should be upload for the first submission.

Should you have any problems or questions concerning the manuscript preparation, please do not hesitate to contact Francesca.bonadei@springer.com; for all content matters, please turn directly to the book's editors.

Best regards,

Alejandra Avalos-Pacheco, Roberta De Vito and Florian Maire

Editors of BaYSM 2022 Springer Proceedings in Mathematics and Statistics

Speakers

Plenary Speakers

Discussants

Discussants

Committees

Scientific Committee

Committees

Local Committee

Resources

Resources

LaTeX Template

Download template

Registration

Registration Information

Timetable

Program Schedule

(language
Day 1 -
Plenary: Amy H. Herring
Plenary
Coffee Break
Break
Theory & Computation: Raquel Prado

See speakers

  • Ceerten Koers "Adaptive Linear Methods for a Non-linear Inverse Problem in the Schrödinger Equation"
  • Jiawei Li "Calibrated Model Criticism Using Split Predictive Checks"
  • Lorenzo Pacchiardi "Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization"
  • Andrea Bertazzi "Higher order approximations of piecewise deterministic Markov processes with splitting schemes"
Talk
Plenary: Adrian E. Raftery
Plenary
Lunch Break (lunch box will be provided)
Break
Applications: Alexandra M. Schmidt

See speakers

  • Renato Berlinghieri "Gaussian processes at the Helm(holtz): A better way to model ocean currents"
  • Willem van den Boom "Bayesian Learning of Graph Substructures"
  • Yanran Li "Impacts of Census Differential Privacy for Monitoring Health Inequities"
  • Yuxi Wang "Robust gamma generalized linear models with applications in actuarial science"
Talk
Plenary: Lorin Crawford
Plenary
Coffee Break
Break
Panel: Updating your (prior) beliefs
Panel
Poster session (Jean Coutu Hall)

See presenters

  • Théo Moins "On the use of a local R to improve MCMC convergence diagnostic"
  • Francesco Sanna Passino "Latent structure blockmodels for Bayesian spectral graph clustering"
  • Louise Alamichel "Bayesian nonparametric mixtures inconsistency for the number of clusters"
  • Yu Luo "Bayesian doubly robust causal inference via loss functions"
  • Irina Degtiar "Generalizing Impacts of Voluntary Interventions Using Bayesian Nonparametric Regressions"
  • Aditi Shenvi "A Mixture Modelling Approach to Model Selection in Chain Event Graphs"
  • Bo Y.-C. Ning "Multiscale Analysis of Bayesian Cox Piecewise Constant Hazards Model"
  • Dennis Nieman "A Bayesian approach to multi-view learning Calibrated Model Criticism Using Split Predictive Checks Frequentist guarantees of variational Bayesian methods"
  • Beniamino Hadj-Amar "Bayesian Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity"
  • Jonathan Owen "Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities"
  • Conor Hughes "Variable Time Poisson CEGs and Applications to Seizure Rates"
  • Nikolas Kuschnig "Bayesian spatial econometrics: a software architecture"
  • Jamie Hogg "Introducing a Bayesian two-stage logistic-normal model for small area estimation of proportions"
  • Aliaksandr Hubin "Adaptation of a genetically modified mode jumping MCMC approach for multivariate fractional polynomials"
  • Andrej Srakar "Pitman-Yor mixtures for BART: A novel nonparametric prior for Bayesian causal inference"
  • Lasse Vuursteen "A Bayesian approach to multi-view learning"
  • Caitlin Ward "Bayesian modeling of dynamic behavioral change during the COVID-19 pandemic"
  • Stephanie Wu "Supervised Bayesian Nonparametric Clustering Techniques for Cardiometabolic Survey Data"
  • Peter Strong "Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling"
  • Antonio Peruzzi "Media Slant and In-platform Polarization via a Markov-Swtiching Latent Space Model"
  • Pankaj Bhagwat "Bayesian inference and prediction for mean-mixtures of normal distributions"
  • Mario Becerra Contreras "Bayesian nonparametric mixtures inconsistency for the number of clusters Bayesian D- and I-optimal designs for choice experiments involving mixtures and process variables"
  • Dirk Douwes-Schultz "Zero-state coupled Markov switching count models for spatio-temporal infectious disease spread"
  • Mariia Vladimirova "Dependence between Bayesian neural network units"
Poster
Day 2 -
Plenary: Sylvia Frühwirth-Schnatter
Plenary
Coffee Break
Break
Stochastic Processes: Bruno Rémillard

See speakers

  • Stefan Franssen "BvM for mixtures"
  • Isabella Deutsch "ABC Learning of Hawkes Processes with Missing or Noisy Event Times"
  • Deborah Sulem "Bayesian estimation of nonlinear Hawkes processes"
  • Raiha Browning "Trans-dimensional histogram kernel for discrete-time Hawkes processes"
  • Dafne Zorzetto "Dependent Dirichlet mixture processes for Causal Inference"
Talk
Plenary: Tamara Broderick
Plenary
Lunch Break (lunch box will be provided)
Break
Computation: David A. Stephens

See speakers

  • Lionel Riou-Durand "Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo"
  • Giorgos Vasdekis "Speeding Up the Zig-Zag process"
  • Yuexi Wang "Approximate Bayesian Computation via Classification"
  • Blake Hansen "Fast Variational Inference for Bayesian Multi-study Factor Analysis"
Talk
Coffee Break
Break
Biostatistics: Jason Roy

See speakers

  • Sascha Ranftl "Beta random field models for aortic dissection and uncertainty propagation with a Bayesian auto-encoder"
  • Catherine Xue "Robust Discovery of Mutational Signatures Using the Power Posterior"
  • Stephen Coleman "A semi-supervised Bayesian mixture modelling approach for joint batch correction and classification"
  • Isabella Grabski "Multi-Study Non-Negative Matrix Factorization for Mutational Signatures"
  • Peter Knaus "A Bayesian Survival Model for Time-Varying Coefficients and unobserved Heterogeneity"
Talk
Social Dinner (Jean Coutu Hall)
Dinner
Awards
Awards