School Lecture A1: 
Model specification and likelihood formulation (D. Hogg)

School Lecture A2: 
Model complexity and choice (D. Hogg)

Coffee break

School Lecture B1:
 Time-domain analysis (S. Aigrain)

School Lecture B2: 
Frequency analysis (S. Aigrain)

Lunch

Keynote talk:

Science with Gaia: how will we deal with a complex billion-source 
catalogue and data archive?

Anthony Brown (Leiden University, Netherlads)

Efficient calculation of covariances for astrometric data in the Gaia Catalogue (B. Holl)

The Generalized Stellar Parametrizer with Gaia Photometry Data (C. Liu)

Efficient use of simultaneous multi-band observations for 
variable star analysis (M. Suveges)

Bayesian parameter estimation for unresolved Gaia binaries (P. Tsalmantza)

Coffee Break

Keynote talk:

Statistical methods in High Energy Physics 
and their implementation for Higgs Search and Dark Matter Search

Eilam Gross (Weizmann Institute, Israel)

The Discrete Source Classifier in Gaia-Apsis (K. Smith)

 Distributed Genetic Algorithm for Region of Interest
    selection in Gaia RVS spectra. Application to ANN parametrization
    (D. Fustes) 

 Introductory python course

School Lecture B3: 
Ensembles of time series (S. Aigrain)
 Presentation 

School Lecture B4: 
 Hands-on session (S. Aigrain)

Coffee break

School Lecture A3: (pair-coding) Model selection workshop (D. Hogg)

School Lecture A4: (pair-coding) workshop continued (D. Hogg)

Lunch

Keynote talk:

Recent Advances in cosmological Bayesian model comparison

Roberto Trotta (Imperial College London, UK)

Bayesian reconstruction of the cosmological large scale structure (F. Kitaura)

Statistical analysis of caustic crossing in multiply imaged quasars (T. Mediavilla)

The distribution of galaxies in spectral space (Y. Ascasíbar)

Coffee Break

17:15-18:00

Keynote talk:
 

The Art of Data Science

Matthew Graham (Center for Advanced Computing Research, 
California Institute of Technology, USA)

Automated data analysis and data mining in large spectroscopic 
sky surveys (N. Christlieb)

Discussion forum: The problem of model specification, comparison and 
selection in Astronomy.

School Lecture C1: How to store a petabyte (M. Graham)

School Lecture C2: How to work with a petabyte (M. Graham)

Coffee break

School Lecture D1: what is data mining (G. Longo)

School Lecture D2: feature selection and dimensionality reduction (G. Longo)

Lunch

Keynote Talk: 

Astronomical Surveys: from SDSS to LSST
Robert Lupton (Princeton University, USA)

Overcoming Sample-Selection Bias in Variable Star Classification (J. Richards)

Random forest automated supervised classification of hipparcos periodic 
variable stars (P. Dubath)

Classification of Variable Stars with Poorly Sampled Light Curves (J. Long)

Coffee Break

Keynote Talk: 

Learning to disentangle Exoplanet signals from correlated noise

Suzanne Aigrain (Oxford University, UK)

Handling imbalanced datasets in multistage classification (M. López)

Discussion forum: systematic biases in the training of learning algorithms due 
to the training sets. 

School Lecture E1: The Sampling Theorem and Image Resampling (R. Lupton)

School Lecture E2: Object Detection and Measurement as Statistical Estimation 
(R. Lupton)

Coffee break

School Lecture C3: How to analyze a petabyte (M. Graham)

School Lecture C4: Hands-on session (M. Graham)

Lunch

Keynote talk: 


Exoplanet demography, quasar target selection, and probabilistic redshift 
estimation: Hierarchical models for density estimation, classification, 
and regression. 

David Hogg (New York University, USA)

Probabilistic description of stellar ensembles (M. Cerviño)

A new approach to the optimization of the extraction of astrometric and photometric 
information from multi-wavelength images in the cosmological field. (M.J. Márquez)

Spectral Classification of Galaxies and its relationship
with galaxy morphology (J. Sánchez Almeida)

Adjustment of Experimental Data to Specific Functional Forms Using Particle Swarm 
Algorithm: Rotational Curves of Spiral Galaxy as Case of Study (M. Cárdenas-Montes)

Coffee Break

Astroinformatics and data mining: how to cope with
the data tsunami
 

Giuseppe Longo (Federico II University, Italy)

Utilizing Astroinformatics to maximize the science return of the next generation 
Virgo Cluster Survey (N. Ball)

Data Mining of MultiDark Simulation (A. Partl)

The application of RapidMiner in the IceCube experiment (T. Ruhe)

Data management at gaia data processing centers (P. de Teodoro)

School Lecture D3: classification tasks and supervised methods (G. Longo)

School Lecture D4: clustering methods (G. Longo)

Coffee break

School Lecture E3: Hands-on session: object detection and measurement (R. Lupton)

School Lecture E4: Hands-on session: object detection and measurement (R. Lupton)