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GREAT Astrostatistics School 2013

This one-week summer school is organized by the Gaia Research for European Astronomy Training (GREAT) networking programme. The objective of the school is to provide attendants with both, a wide overview of the body of statistical techniques widely applied to astronomical problems, and a specialized primer to the latest developments in this field, occurred in the past decade. There will be a strong practical component with several hands-on sessions during which students are expected to develop Python code to analyse real datasets.
When 17 June 2013 09:30 AM to
21 June 2013 09:30 AM
Where Alicante ES
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The Lecturers

  • Pieter Degroote - Introduction to Python as a tool for scientific computing. Contents: basic Python programming, Numerical Python (Numpy), Scientific Python (Scipy), scientific plotting with Python, Monte Carlo simulations with Python.
  • Mike Irwin - Advanced Bayesian statistics. Foundations of Bayesian statistical inference for classification and regression, handling uncertainties, hypothesis testing and model selection, handling of incomplete data, hierarchical models, sampling techniques.
  • Coryn Bailer-Jones - Time series analysis. Overall objectives of time series analysis, Bayesian modelling in the time domain, deterministic and stochastic models, model comparison (using marginalized likelihood and other approaches).
  • Berry Holl - Statistics with Gaia Data. Overview of Gaia instruments, the nature of the observations, and the main problems in the forward modelling approach of the data processing. The propagation of systematic and random errors into the final (astrometric) catalog is discussed, as well as some examples given on how these effects should be treated. Draft Details (not public).
  • Zeljko Ivezic- Statistical analysis of large scale surveys. Dimensionality reduction, classification, regression. Draft Details (not public).

 

Format

There will be two lectures each morning and afternoon practical sessions. Practical sessions will be in Python and attendees should have a lap top worth python installed.

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