Archive: The Challenge of Data Efficiency: Vignettes from Statistics and Evolution
49 views · Published 14 June 2014 · 54:08 · Indexed 14 November 2026
Channel: UW Video · 2014 · Education
As the amount of data that can be brought to bear on a task grows, so too does the difficulty and importance of making the best use of our data. A basic question in statistics is to determine how much data is needed to estimate various properties of one or more probability distributions. We consider the fundamental properties of support size, entropy, and the distance between two distributions. In the second half of the talk, we take our inspiration from biological evolution -- a natural process that, from vast amounts of data and complexity yields surprisingly effective results. In this talk we formulate a notion of "evolvability" for functions with domain and range that are real-valued vectors, an appropriate way of expressing many natural biological processes such as protein expression regulation. Published 03/01/2012 The University of Washington is committed to ensuring digital accessibility in our services, programs, and activities. If you encounter accessibility barriers using videos found on this channel, please contact UW Video at uwvideo [at] uw [dot] edu.
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