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Can a probability distribution value exceeding 1 be OK?

distributions probability normal-distribution pdf asked Nov 5 '10 at 1:25

stats.stackexchange.com

24 votes

What should be considered when selecting a windowing function when smoothing a time series?

filters window-functions asked Sep 12 '11 at 20:23

dsp.stackexchange.com

15 votes

What should be considered when selecting a windowing function when smoothing a time series?

time-series asked Mar 17 '11 at 12:58

quant.stackexchange.com

15 votes

Statistical similarity of time series

time-series classification asked Oct 4 '10 at 20:21

stats.stackexchange.com

14 votes

Choice of neural net hidden activation function

machine-learning classification neural-networks asked Sep 6 '12 at 11:05

stats.stackexchange.com

13 votes

Interpretation/use of kernel density

kde asked Oct 27 '10 at 23:56

stats.stackexchange.com

12 votes

Closed form formula for distribution function including skewness and kurtosis?

distributions density-function kurtosis skewness asked Apr 16 '11 at 14:28

stats.stackexchange.com

10 votes

BLAS library incompatible with Fortran 77 compiler settings

fortran octave gfortran blas asked Sep 24 '12 at 23:45

stackoverflow.com

8 votes

Which R package to use to calculate component parameters for a mixture model

r mixed-model asked Apr 27 '11 at 21:10

stats.stackexchange.com

8 votes

Use of kernel density estimate in Naive Bayes Classifier?

bayesian kde asked Nov 7 '10 at 21:23

stats.stackexchange.com

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babelproofreader

Can a probability distribution value exceeding 1 be OK?

What should be considered when selecting a windowing function when smoothing a time series?

What should be considered when selecting a windowing function when smoothing a time series?

Statistical similarity of time series

Choice of neural net hidden activation function

Interpretation/use of kernel density

Closed form formula for distribution function including skewness and kurtosis?

BLAS library incompatible with Fortran 77 compiler settings

Which R package to use to calculate component parameters for a mixture model

Use of kernel density estimate in Naive Bayes Classifier?