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Monte Carlo Methods in Advanced Statistics Applications and Data Analysis

from Monday, 18 November 2013 (08:00) to Friday, 22 November 2013 (18:00)
MPI Munich

        : Sessions
    /     : Talks
        : Breaks
18 Nov 2013
19 Nov 2013
20 Nov 2013
21 Nov 2013
22 Nov 2013
AM
09:00 Registration   ()
10:30 Basics 1: Basis of statistics, probability etc. - Allen Caldwell (Max Planck Institute)   ()
Slides
09:00 Basics 4: Information field theory - from data to images (lecture) - Dr Torsten Ensslin (MPA)   ()
Slides
10:30 --- Coffee break ---
11:00 NIFTY: Numerical information field theory - Marco Selig (MPA Garching)   ()
Slides
09:00 Markov chain Monte Carlo 1 - Remi Bardenet (Oxford)   ()
Paper
Slides
10:30 --- Coffee break ---
11:00 Markov chain Monte Carlo 2 - Remi Bardenet (Oxford) Ralf Ulrich (KIT)   ()
09:00 Basic sampling methods, convergence, variance reduction - and connections to MC event generators - Stefan Gieseke (KIT)   ()
Slides and exercises
10:30 --- Coffee break ---
11:00 Exercises on MC sampling - Allen Caldwell (Max Planck Institute)   ()
Exercises
09:00 Population MC 1 - Frederic Beaujean (MPI Munich)   ()
Slides
10:30 --- Coffee break ---
11:00 Population MC 2 - Frederic Beaujean (MPI Munich)   ()
PM
12:30 --- Lunch break ---
14:00 Basics 2: Random numbers, distributions etc. - Allen Caldwell (Max Planck Institute)   ()
15:30 --- Coffee break ---
16:00 Basics 3: Logic, information and Bayesian reasoning (lecture) - Dr Torsten Ensslin (MPA)   ()
18:30 --- Welcome reception ---
12:30 --- Lunch break ---
14:00 Bayesian mixture modelling - Fabrizia Guglielmetti (MPE Garching)   ()
Slides
15:45 --- Coffee break ---
16:15 Multivariate analysis - Balazs Kegl (LAL, Orsay)   ()
Paper
Slides
12:30 --- Lunch break ---
14:00 BAT - a complex Markov chain Monte Carlo application - Dr Kevin Kroeninger (University of Goettingen)   ()
Slides
16:00 --- Coffe break ---
16:30 The STAN package: Bayesian Inference based on Hamiltonian Monte Carlo - Michael Betancourt   ()
Literature
12:30 --- Lunch break ---
14:00 Nested sampling - Udo v. Toussaint (IPP Garching)   ()
16:00 --- Coffee break ---
16:30 Nested sampling using PyMultiNest - Johannes Buchner (MPE Garching)   ()
Slides
18:30 --- School dinner ---
12:30 --- Lunch break ---
14:00 Q&A session   ()