The advanced theory of statistics

By M. Kendall. 1945

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1. M. Putman
2. Jushan Bai
3. Serena Ng
4. Mohsen Pourahmadi
5. Jianqing Fan
6. L. Staveley-Smith
7. Clifford Lam
8. M. Forni

Citations in the corpus

• Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing (2015, neutral): “The expectations follow directly from the results of Magnus [1979] and Kendall and Stuart [1977]. The last equation follows since Tr(AB) ≤ Tr(A)Tr(B) for any two psd matrices we have Tr(Π(2)) ≤ Tr(2)(Π) and Tr(Π(3)) ≤ Tr(Π(2))Tr(Π) and Tr(Π(4)) ≤ Tr(Π(2))Tr(2)(Π).”
• Variational Bayesian Reinforcement Learning with Regret Bounds (2018, background): “ risk-seeking, which, as previously mentioned, is useful for exploration. A fundamental object of statistics that we make use of in this work is the cumulant generating function of a random variable (Kendall, 1946), which for random variable Xis defined as GX() = logEexp(X); (2) i.e., the log of the ”