Box & boxKDE algos + notation fixes
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@@ -85,6 +85,7 @@ However, for many applications it is recommend to use the simple binning rule
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\end{align}
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or the common linear binning rule which divides the sample into two fractional weights shared by the nearest grid points
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\begin{align}
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\label{eq:linearBinning}
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b_j(x,\delta) &=
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\begin{cases}
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w_j(1-|\delta^{-1}x-j|) & \text{if } |\delta^{-1}x-j|\le1 \\
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