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-rw-r--r--paper/sections/model.tex2
1 files changed, 1 insertions, 1 deletions
diff --git a/paper/sections/model.tex b/paper/sections/model.tex
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@@ -61,7 +61,7 @@ where $f: \reals \rightarrow [0,1]$
\end{definition}
In other words, each generalized linear cascade provides, for each node $j \in
-V$ a series of measurements $(X^t, X^t_j)_{t \in {\cal T}_j}}$ sampled from
+V$ a series of measurements $(X^t, X^{t+1}_j)_{t \in {\cal T}_j}$ sampled from
a generalized linear model. Note also that $\E[X^{t+1}_i\,|\,X^t]
= f(\inprod{\theta_i}{X^t})$. As such, $f$ can be interpreted as the inverse
link function of our generalized linear cascade model.