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Documentation fixes (#212)
* Introduce a separate menu element to make distinction clearer * Remove reference to non-implemented method
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docs/src/entropies.md

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StretchedExponential
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```
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## Estimation
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### Discrete entropies
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## Estimation (discrete)
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Discrete entropies are just simple functions (sums, actually) of
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probability mass functions [(pmf)](https://en.wikipedia.org/wiki/Probability_mass_function),
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| [`ValueHistogram`](@ref) | Binning (histogram) | `Vector`, `Dataset` |||||||
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| [`TransferOperator`](@ref) | Binning (transfer operator) | `Vector`, `Dataset` |||||||
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| [`NaiveKernel`](@ref) | Kernel density estimation | `Dataset` |||||||
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| [`LocalLikelihood`](@ref) | Local likelihood Estimation | `Dataset` |||||||
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| [`SymbolicPermutation`](@ref) | Ordinal patterns | `Vector` |||||||
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| [`SymbolicWeightedPermutation`](@ref) | Ordinal patterns | `Vector` |||||||
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| [`SymbolicAmplitudeAwarePermutation`](@ref) | Ordinal patterns | `Vector` |||||||
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| [`WaveletOverlap`](@ref) | Wavelet transform | `Vector` |||||||
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| [`PowerSpectrum`](@ref) | Fourier spectra | `Vector`, `Dataset` |||||||
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### Continuous/differential entropies
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### Estimation (continuous/differential)
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The following estimators are *differential* entropy estimators, and can also be used
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with [`entropy`](@ref). Differential) entropies are functions of *integrals*, and usually

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