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UID:pretalx-juliacon-2026-HYQWVR@pretalx.com
DTSTART;TZID=CET:20260814T163000
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DESCRIPTION:Pfaffian point processes (PfPPs) most famously arise in the eig
 envalue distributions of random orthogonal or symplectic matrices\, but al
 so appear in the description of other stochastic processes\, such as annih
 ilating and coalescing random walks\, random involutions\, or symmetric co
 rner growth. We introduce novel sampling algorithms for discrete and conti
 nuous PfPPs\, as well as a method for constructing skew-symmetric kernels 
 based on skew-orthogonal polynomials derived from arbitrary weights.
DTSTAMP:20260502T114914Z
LOCATION:Room 4
SUMMARY:Sampling Pfaffian Point Processes - Simeon Schaub
URL:https://pretalx.com/juliacon-2026/talk/HYQWVR/
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