[Theory] [Theory Lunch] Kavya Ravichandran, Wednesday 11/16 12:30pm-1:30pm, JCL 298.

[Antares Chen]

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*Date**:* November 16, 2022
*Time: *12:30pm CT
*Location: *JCL 298

Speaker: Kavya Ravichandran <https://kavyar314.github.io/>

*Title: *A property testing approach to identifying heavy tails in
distributions

*Zoom: *[link
<https://uchicago.zoom.us/j/91403790924?pwd=Qlh6TG1OOGZuMzFIM0E2U3ZoTGM2dz09>
]

*Abstract:* Hypothesis testing has been a mainstay of modern statistics for
over 100 years. In this talk, we will discuss the property testing
framework from theoretical computer science. We will start by discussing
the setup and elementary results. Then, we will present our work on
heavy-tailed distributions in a version of this framework. First, we define
a parameterization of the notion of “heavy-tailed.” Then, we present a
proxy quantity for measuring the tail weight and explain how to use it to
determine whether a set of samples comes from a heavy-tailed distribution
or not.

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