Program
Wednesday – April, 9th
- 9:00: Opening
- 9:30: Peter Bühlmann, Predicting causal effects in high-dimensional settings - slides (PDF)
- 10:30: Coffee break
- 11:00: Irad Ben-Gal, On Granular High Resolution Analytics for Big Data Applications - slides (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 LASSO – slides (PDF)
- 9:50: Andrea Rau, Florence Jaffrézic, Grégory Nuel
Joint estimation of causal effects from observational and intervention gene expression data – slides (PDF)
- 10:40-11:00: Coffee break
- 11:00: Giovanni Perucca, Silvia Salini
Travellers’ satisfaction with railway transport: a Bayesian Network approach – slides (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 Learning – slides (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 Model – slides (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 study – slides (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 Method – slides (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 inference – slides (PDF)
- 12:00: Badih Ghattas
Bayesian Networks over Clusters – slides (PDF)
- 12:30-14:00: Lunch break
- 14:00-17:00
- 14:00: Luciana Dalla Valle
Official Statistics Data Integration Using Copulas – slides (PDF)
- 14:50: Nikolaus Rudak, Sonja Kuhnt, Eva Riccomagno
Modelling of a thermal spraying process by Gaussian chain graph models – slides (PDF)
- 15:40-16:00: Coffee break
- 16:00: Antoine Chambaz, Olga Klopp, Pierre Neuvial
Measuring causal effects on a network – slides (PDF)
- 16:30: Maurizio Carpita, Marco Sandri, Anna Simonetto, Paola Zuccolotto
Discovering the drivers of football match outcomes with data mining – slides (PDF)