Wednesday – April, 9th

  • 9:00: Opening
  • 9:30: Peter BühlmannPredicting causal effects in high-dimensional settingsslides (PDF)
  • 10:30: Coffee break
  • 11:00: Irad Ben-GalOn Granular High Resolution Analytics for Big Data Applicationsslides (PDF)
  • 12:00-13:45: Lunch break
  • 13:45-17:15: Après-midi SFdS Méthodes et Logiciels (link)
    • Lionel Jouffe, Bayesian Belief Networks for Decision Support
    • Jean-Baptiste Denis, Building, handling and using Bayesian networks with R and Bugs
    • Marco Scutari, Multiple Quantitative Trait Analysis in Statistical Genetics with Bayesian networks
    • Ian Cox, Visualising Posterior MCMC Samples with JMP
    • Michael Ashcroft, RESTful Bayesian Networks: The ISM API

Thursday – April, 10th

  • 9:00-12:30
  • 9:00: Nathalie Villa-Vialaneix, Matthieu Vignes, Nathalie Viguerie, Magali SanCristobal
    Joint network inference with the consensual LASSOslides (PDF)
  • 9:50: Andrea Rau, Florence Jaffrézic, Grégory Nuel
    Joint estimation of causal effects from observational and intervention gene expression dataslides (PDF)
  • 10:40-11:00: Coffee break
  • 11:00: Giovanni Perucca, Silvia Salini
    Travellers’ satisfaction with railway transport: a Bayesian Network approachslides (PDF)
  • 11:50: Florence d’Alché-Buc, Néhémy Lim, Cédric Auliac, George Michailidis
    A new angle to causal network discovery with operator-valued kernel-based graphical dynamic models
  • 12:30-14:00: Lunch break
  • 14:00-17:30
  • 14:00: James Cussens
    Integer Programming for Bayesian Network Structure Learningslides (PDF)
  • 14:50: Patrick Meyer
    Minrelation measures
  • 15:40-16:00: Coffee break
  • 16:00: Michael Ashcroft
    Ensemble Bayesian Network Model - slides (prezi)
  • 16:30: Avner Bar-Hen, Jean-Michel Poggi
    Influential observations in a Graphical Modelslides (PDF)
  • 17:00: Mouna Ben Ishak, Rajani Chulyado, Ahmed Abdelwahab, Miriam Ramirez, Philippe Leray, Nahla Ben Amor
    Relational Bayesian Networks for recommender systems: review and comparative studyslides (PDF)

Friday – April, 11th

  • 9:00-12:30
  • 9:00: Ron Kenett 
    On Generating High InfoQ with Bayesian Networks - slides (PDF)
  • 9:50: Irad Ben-Gal, Niv Shkolnik, Alexandra Dana
    Efficient Construction of Decision Trees by the Dual Information Distance Methodslides (PDF)
  • 10:40-11:00: Coffee break
  • 11:00: Rim Zaag, Véronique Brunaud, Jean-Philippe Tamby, Zakia Tariq, Guillem Rigaill, Sébastien Aubourg and Marie-Laure Martin-Magniette
    SONATA. Stress, Orphans, Networks And Transcriptome in Arabidopsis - slides (PDF)
  • 11:30: Loïc Schwaller, Stéphane Robin
    Tree-based graphical model inferenceslides (PDF)
  • 12:00: Badih Ghattas
    Bayesian Networks over Clustersslides (PDF)
  • 12:30-14:00: Lunch break
  • 14:00-17:00
  • 14:00: Luciana Dalla Valle
    Official Statistics Data Integration Using Copulasslides (PDF)
  • 14:50: Nikolaus Rudak, Sonja Kuhnt, Eva Riccomagno
    Modelling of a thermal spraying process by Gaussian chain graph modelsslides (PDF)
  • 15:40-16:00: Coffee break
  • 16:00: Antoine Chambaz, Olga Klopp, Pierre Neuvial
    Measuring causal effects on a networkslides (PDF)
  • 16:30: Maurizio Carpita, Marco Sandri, Anna Simonetto, Paola Zuccolotto
    Discovering the drivers of football match outcomes with data miningslides (PDF)