Travel Awards

Dear (junior) ISBA members,

We are happy to announce that the call for the “ISBA New Researcher Travel Award" for BaYSM 2022 is now open.

Awards will be given on a competitive basis, according to the following eligibility criteria:

  1. candidates should have been accepted to present a talk or a poster at the upcoming BaYSM 2022, and
  2. candidates should be undergraduate or graduate students, or have received a PhD after January 1st, 2017.

Preference will be given to senior/advanced students active in research and to students from economically disadvantaged countries.

In order to be considered for this award, plase send your CV no later than June 6th, 2022 to the BaYSM email address:, using the subject "ISBA New Researcher Travel Award: ".

We gratefully thank ISBA for supporting this award.

For additional questions and queries, do not hesitate to contact the Scientific Committee at



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Registration Information


Program Schedule

Day 1 -
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"
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"
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"
Day 2 -
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"
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"
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"