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Summer School in Statistics for Astronomers XIV & Summer School in Astroinformatics

Penn State's Center for Astrostatistics is supplementing its long-standing week-long Summer School in statistical methodology with a new Summer School in Astroinformatics. Registration is now open; participants can attend one or both of the programs. Lectures and tutorials are presented by professors in statistics, computer science, astrostatistics and astroinformatics. Tutorials exercise methods with realistic contemporary astronomical dataset.
When 29 May 2018 09:55 AM to
08 June 2018 09:55 AM
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Summer School in Statistics for Astronomers  This week provides an intensive program in statistical inference and methods for observational astronomy.  Topics include: principles of probability and inference; nonparametrics; regression and model selection;  bootstrap resampling; maximum likelihood; Bayesian inference; multivariate clustering and classification; spatial statistics; and time series analysis. Hands-on training uses the R statistical software environment.

Summer School in Astroinformatics   This week gives a strong background in statistical and computational methodology for large astronomical datasets.  Topics include: fundamentals of scientific computing and high-performance computing; Bayesian computation; machine learning algorithms; multivariate dimension reduction; clustering and classification; optimization; Gaussian Processes regression; neural networks and Deep Learning.  

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