Random Measures, Theory and Applications

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Probabilistic Symmetries and Invariant Neural Networks (2020, background): “…with integral decompositions like (1); see Orbanz and Roy (2015) for an accessible overview. de Finetti’s results inspired a large body of work on other symmetries in the probability literature; Kallenberg (2005) gives a comprehensive treatment and Kallenberg (2017) contains further results.”
Lectures on the Poisson Process (2017, background): “12 (a classical result) is taken from the monograph [65].”