Wednesday, November 13, 2024 - 16:15 in V4-116 + Zoom
Asymptotics for quantization of probability measures
A talk in the Oberseminar Analysis series by
Filippo Quattrocchi from IST Austria
| Abstract: |
Quantization is the problem of approximating a given probability measure using discrete measures, supported on a prescribed number n of points. One of the fundamental questions is: At what rate does the minimal quantization error tend to 0 as n grows? A classical answer is given by Zador's theorem. I will discuss this result along with some new findings on a variation of the problem, in which the discrete approximating measures are additionally constrained to be uniform. This talk is based on the work arXiv:2408.12924.
Zoom Meeting ID: [686 0112 3008]
Passcode: [867330]
$\href{https://uni-bielefeld.zoom-x.de/j/68601123008?pwd=3B0C4nRNJveeJ71WQ1caCai3MbXTwA.1}{\textbf{Join Zoom Meeting}}$
Within the CRC this talk is associated to the project(s): A8 |
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