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StretchedExponential
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```
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- ## Estimation
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-
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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 ) ,
@@ -36,7 +34,6 @@ Tables scroll sideways, so are best viewed on a large screen.
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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 ` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
@@ -45,7 +42,7 @@ Tables scroll sideways, so are best viewed on a large screen.
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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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