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authorjeanpouget-abadie <jean.pougetabadie@gmail.com>2015-05-15 18:54:54 +0200
committerjeanpouget-abadie <jean.pougetabadie@gmail.com>2015-05-15 18:54:54 +0200
commit2586d50b4ce7c932656b8f144784511f08692e14 (patch)
tree9fcaf074ece2abcd71decf78cf63129e9e7ffe86 /paper/sections/results.tex
parent0f6b315caf29f67d89b876ee14178dc7b1db6254 (diff)
downloadcascades-2586d50b4ce7c932656b8f144784511f08692e14.tar.gz
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@@ -273,7 +273,7 @@ condition on the \emph{gram matrix} of the observations $X^T X =
\paragraph{(RE) with high probability}
The Generalized Linear Cascade model yields a probability distribution over the
-observed sets of infeceted nodes $(x^t)_{t\in\mathcal{T}}$. It is then natural
+observed sets of infected nodes $(x^t)_{t\in\mathcal{T}}$. It is then natural
to ask whether the restricted eigenvalue condition is likely to occur under
this probabilistic model. Several recent papers show that large classes of
correlated designs obey the restricted eigenvalue property with high