Planning

Week Mon. 09 Tue. 10 Wed. 11 Thu. 12 Fri. 13 List

	Mon. 09	Tue. 10	Wed. 11	Thu. 12	Fri. 13
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00	Arrival 10:00 - 12:30 (2h30) Arrival Arrival and installation. Lunch 12:30 - 13:50 (1h20) Lunch Welcome address 13:50 - 14:00 (10min) Welcome address The organizers Introduction to R (Didier Fraix-Burnet) 14:00 - 15:30 (1h30) Introduction to R (Didier Fraix-Burnet) Didier Fraix-Burnet Coffee Break 15:30 - 16:00 (30min) Coffee Break Foundations of Bayesian Inference (David van Dyk) 16:00 - 17:30 (1h30) Foundations of Bayesian Inference (David van Dyk) David van Dyk	Markov chain Monte Carlo (David van Dyk) 8:30 - 10:00 (1h30) Markov chain Monte Carlo (David van Dyk) David van Dyk Coffee break 10:00 - 10:30 (30min) Coffee break Model Building (David van Dyk) 10:30 - 12:00 (1h30) Model Building (David van Dyk) David van Dyk Lunch 12:00 - 15:00 (3h) Lunch Markov chain Monte Carlo Practical (David Stenning, Xixi Yu) 15:00 - 16:30 (1h30) Markov chain Monte Carlo Practical (David Stenning, Xixi Yu) David van Dyk Coffee break 16:30 - 17:00 (30min) Coffee break Model Building Practical (David Stenning, Xixi Yu) 17:00 - 18:30 (1h30) Model Building Practical (David Stenning, Xixi Yu)	Approximate Bayesian Computing (Christian Robert) 8:30 - 10:00 (1h30) Approximate Bayesian Computing (Christian Robert) Christian Robert Coffee break 10:00 - 10:30 (30min) Coffee break Approximate Bayesian Computing (Christian Robert) 10:30 - 12:00 (1h30) Approximate Bayesian Computing (Christian Robert) Christian Robert Lunch 12:00 - 14:00 (2h) Lunch Free time 14:00 - 19:00 (5h) Free time Walk, run, swim, sleep ... or work. Cocktail 19:00 - 20:00 (1h) Cocktail Raclette 20:00 - 21:30 (1h30) Raclette	Approximate Bayesian Computing (Christian Robert) 8:30 - 10:00 (1h30) Approximate Bayesian Computing (Christian Robert) Christian Robert Coffee break 10:00 - 10:30 (30min) Coffee break Approximate Bayesian Computing Practical (Christian Robert) 10:30 - 12:00 (1h30) Approximate Bayesian Computing Practical (Christian Robert) Christian Robert Lunch 12:00 - 14:00 (2h) Lunch Interaction with the participants 14:00 - 15:45 (1h45) Interaction with the participants Discussion on some practical issues brought by the participants Coffee break 15:45 - 16:15 (30min) Coffee break Interaction with the participants 16:15 - 18:30 (2h15) Interaction with the participants Discussion on some practical issues brought by the participants	Bayesian Nonparametric Inference and Clustering (Julyan Arbel) 8:30 - 10:00 (1h30) Bayesian Nonparametric Inference and Clustering (Julyan Arbel) Julyan Arbel Coffee break 10:00 - 10:30 (30min) Coffee break Bayesian Nonparametric Inference and Clustering Practical (Julyan Arbel) 10:30 - 11:45 (1h15) Bayesian Nonparametric Inference and Clustering Practical (Julyan Arbel) Julyan Arbel Closing remarks 11:45 - 11:50 (05min) Closing remarks The organizers Lunch 12:00 - 13:00 (1h) Lunch Bus to Grenoble train/bus station 13:10 - 14:15 (1h05) Bus to Grenoble train/bus station Bus to Grenoble train/bus station

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