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The advent of advanced astronomical instruments and huge surveys
means that the twenty-first century is witnessing a rapid growth in
astrostatistical science. Interpreting the cosmic microwave
background, weak and strong gravitational lensing, galaxy
clustering and other signatures of the early Universe all require
advanced statistical techniques. Led by members of the IAU's newly
formed Working Group in Astrostatistics and Astroinformatics, IAU
Symposium 306 emphasises the intricate mathematical methods needed
to extract scientific insights from large and complicated datasets.
It contains contributions on Bayesian methods, weak lensing
cosmology, CMB data analysis, cross-correlating datasets,
large-scale structure, data mining and machine learning, ongoing
surveys and the future Euclid mission. The approaches presented
here provide a solid foundation to advance new research methods in
cosmology, making it an essential text for the large community of
astronomers and statisticians who will analyse and interpret the
vast and growing amount of observational data.
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