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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Multiscale methods and recursion in data science

## Multiscale methods and recursion in data scienceAdd to your list(s) Download to your calendar using vCal - Piotr Fryzlewicz (London School of Economics)
- Friday 23 March 2018, 11:30-12:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact info@newton.ac.uk. STSW02 - Statistics of geometric features and new data types The talk starts on a general note: we first attempt to define a “multiscale” method / algorithm as a recursive program acting on a dataset in a suitable way. Wavelet transformations, unbalanced wavelet transformations and binary segmentation are all examples of multiscale methods in this sense. Using the example of binary segmentation, we illustrate the benefits of the recursive formulation of multiscale algorithms from the software implementation and theoretical tractability viewpoints. - https://CRAN.R-project.org/package=breakfast – R software package “breakfast” (provides an implementation of Adaptive Wild Binary Segmentation)
This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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