LatticeReduce[{v_1, v_2, ...}] gives a reduced basis for the set of vectors v_i.
Likelihood[dist, {x_1, x_2, ...}] gives the likelihood function for observations x_1, x_2, ... from the distribution dist.
LogGamma[z] gives the logarithm of the gamma function log \[CapitalGamma](z).
LogIntegral[z] is the logarithmic integral function li(z).
MapThread[f, {{a_1, a_2, ...}, {b_1, b_2, ...}, ...}] gives {f[a_1, b_1, ...], f[a_2, b_2, ...], ...}. MapThread[f, {expr_1, expr_2, ...}, n] applies f to the parts of the ...
Max
(Built-in Mathematica Symbol) Max[x_1, x_2, ...] yields the numerically largest of the x_i. Max[{x_1, x_2, ...}, {y_1, ...}, ...] yields the largest element of any of the lists.
Min
(Built-in Mathematica Symbol) Min[x_1, x_2, ...] yields the numerically smallest of the x_i. Min[{x_1, x_2, ...}, {y_1, ...}, ...] yields the smallest element of any of the lists.
MouseAppearance[expr, graphic] changes the mouse cursor to appear as graphic when the mouse pointer is in the area where expr is displayed.MouseAppearance[expr, graphic, {x, ...
MultivariateTDistribution[\[CapitalSigma], \[Nu]] represents the multivariate Student t distribution with scale matrix \[CapitalSigma] and degrees of freedom parameter ...
NullSpace[m] gives a list of vectors that forms a basis for the null space of the matrix m.