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University of Cambridge > Talks.cam > Probability > CENTRAL LIMIT THEOREMS AND THE GEOMETRY OF POLYNOMIALS
CENTRAL LIMIT THEOREMS AND THE GEOMETRY OF POLYNOMIALSAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Perla Sousi. Let X ∈ {0, . . . , n} be a random variable with standard deviation σ and let f_X be its probability generating function. Pemantle conjectured that if σ is large and f_X has no roots close to 1 in the complex plane then X must approximate a normal distribution. In this talk, I will discuss a complete resolution of Pemantle’s conjecture. I shall also mention a how these ideas can be used to prove a multivariate central limit theorem for strong Rayleigh distributions, thereby resolving a conjecture of Gosh, Liggett and Pemantle. This talk is based on joint work with Marcus Michelen. This talk is part of the Probability series. This talk is included in these lists:
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