| Probability theory |
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| Probability |
prob prob-joint prob-marg prob-cond |
prob-ind prob-exc |
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| Probability axioms |
prob-ax |
prob-mon prob-emp prob-comp prob-add prob-exh prob-exh2 |
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prob-tot |
| Probability mass function |
pmf |
pmf-sumind pmf-sifct pmf-sdfct pmf-invfct |
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| Probability density function |
pdf |
pdf-sumind pdf-sifct pdf-sdfct pdf-invfct pdf-linfct |
pdf-cdf |
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| Cumulative distribution function |
cdf cdf-joint |
cdf-sumind cdf-sifct cdf-sdfct |
cdf-pmf cdf-pdf |
cdf-pit cdf-itm cdf-dt |
| Quantile function |
qf |
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qf-cdf |
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| Characteristic function |
cf |
cf-fct |
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| Moment-generating function |
mgf |
mgf-fct |
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mgf-ltt mgf-lincomb |
| Cumulant-generating function |
cgf |
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| Probability-generating function |
pgf |
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pgf-mean |
pgf-zero pgf-one |
| Expected value |
mean mean-samp mean-rvec mean-rmat |
mean-nnrvar mean-nonneg mean-lin mean-mono mean-mult mean-tr mean-qf |
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mean-prodsqr mean-tot mean-lotus |
| Variance |
var var-samp |
var-nonneg var-const var-inv var-scal var-sum var-lincomb var-add |
var-mean |
var-tot |
| Skewness |
skew skew-samp |
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skew-mean |
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| Covariance |
cov cov-samp covmat covmat-samp covmat-cross |
cov-ind cov-symm covmat-inv covmat-scal covmat-sum covmat-symm covmat-psd |
cov-mean cov-var cov-corr covmat-mean covmat-corrmat |
cov-tot |
| Correlation |
corr corr-samp corrmat corrmat-samp |
corr-range |
corr-z |
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| Median |
med |
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| Mode |
mode |
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| Standard deviation |
std |
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| Full width at half maximum |
fwhm |
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| Minimum |
min |
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| Maximum |
max |
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| Moments |
mom mom-raw mom-cent mom-stand |
momraw-1st momraw-2nd momcent-1st momcent-2nd |
mom-mgf |
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| Information theory |
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| Shannon entropy |
ent ent-cond ent-joint ent-cross |
ent-nonneg ent-conc entcross-conv |
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gibbs-ineq logsum-ineq |
| Differential entropy |
dent dent-cond dent-joint dent-cross |
dent-neg dent-inv dent-add dent-addvec dent-noninv |
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| Discrete mutual information |
mi |
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dmi-mce dmi-mje dmi-jce |
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| Continuous mutual information |
mi |
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cmi-mcde cmi-mjde cmi-jcde |
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| Kullback-Leibler divergence |
kl |
kl-nonneg kl-nonsymm kl-conv kl-add kl-inv |
kl-ent kl-dent |
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| Estimation theory |
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| Mean squared error |
mse |
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mse-bnv |
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| Confidence interval |
ci |
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ci-wilks |
| Frequentist statistics |
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| Likelihood theory |
lf llf mle mll |
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mle-bias |
| Statistical hypotheses |
hyp hyp-simp hyp-point hyp-tail |
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| Hypothesis testing |
test h0 h1 test-tail tstat size power alpha cval pval |
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pval-h0 |
| Bayesian statistics |
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| Probabilistic modeling |
gm lf prior fpm jl post map ml |
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jl-lfnprior post-jl ml-jl |
post-ind |
| Prior distributions |
prior-flat prior-uni prior-inf prior-emp prior-conj prior-maxent prior-eb prior-ref |
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| Bayesian inference |
eb vb |
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bayes-th bayes-rule |