Abstract
We present a new derivation of the asymptotic correction for bias in the estimate of information from a finite sample. The new derivation reveals a relationship between information estimates and a sequence of polynomials with combinatorial significance, the exponential (Bell) polynomials, and helps to provide an understanding of the form and behavior of the asymptotic correction for bias.
| Original language | English |
|---|---|
| Pages (from-to) | 2797-2804 |
| Number of pages | 8 |
| Journal | Neural Computation |
| Volume | 12 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2000 |
| Externally published | Yes |
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