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Summer School in Statistics for Astronomers XIV

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. Open-source software and lecture notes are provided. Participants should bring a laptop computer.
Quando 24/05/2018 a 00h00 08/06/2018 a 00h00 a
Onde Penn State University
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Summer School in Statistics for Astronomers  (May 29-June 2 2018) 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  (June 4-8 2018) 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.


Registration and further information: <http://astrostatistics.psu.edu/su18>


Registration deadline:  May 4 2018 or when the classes are full

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