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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
This extended Hermite polynomial is associated with a matrix which is the difference between two covariance matrices, in other words, with any symmetric matrix.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:We give formulas for the conditional and unconditional expectations of products of multivariate Hermite and modified Hermite polynomials, each with a multivariate normal argument.
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Temel Bulgular & Veri:A unified approach is given that covers both of these polynomials, each associated with a covariance matrix.
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Sonuç & Katkı:This extended Hermite polynomial is associated with a matrix which is the difference between two covariance matrices, in other words, with any symmetric matrix.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Conditional expectation · Multivariate Hermite polynomial · Multivariate normal
Abstract
We give formulas for the conditional and unconditional expectations of products of multivariate Hermite and modified Hermite polynomials, each with a multivariate normal argument. A unified approach is given that covers both of these polynomials, each associated with a covariance matrix. This extended Hermite polynomial is associated with a matrix which is the difference between two covariance matrices, in other words, with any symmetric matrix.
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Bu Makaleye Atıf Yap
Withers, C. S., Nadarajah, S. (2014). Some conditional and unconditional expectation identities for the multivariate normal with non-zero mean. Hacettepe Journal of Mathematics and Statistics, Volume: 43 Issue: 4. https://ajindex.com/articles/1403384