Research field
Astrostatistics
Astrostatistics develops and applies advanced statistical methods to analyse the massive, heterogeneous datasets produced by modern sky surveys and telescopes.
3,200 Researchers
$540K Avg funding
5 Subfields
5 Top institutions
Top institutions
Carnegie Mellon University
University of Washington
Imperial College London
Johns Hopkins University
University of Edinburgh
Subfields
Bayesian Inference in Astronomy Time-Series Analysis Survey Data Mining Machine Learning for Classification Cosmic Parameter Estimation
Key technologies
Nested Sampling (MultiNest/PolyChord)
Gaussian Process Regression
Random Forests and CNNs
Hierarchical Bayesian Models
Approximate Bayesian Computation
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