Expectation[expr, x \[Distributed] dist] gives the expectation of expr under the assumption that x follows the probability distribution dist. Expectation[expr, x ...
IncidenceGraph[m] gives the graph with incidence matrix m.
KirchhoffGraph[kmat] gives the graph with Kirchhoff matrix kmat.KirchhoffGraph[{v_1, v_2, ...}, kmat] gives the graph with vertices v_i and Kirchhoff matrix kmat.
RandomGraph[{n, m}] gives a pseudorandom graph with n vertices and m edges.RandomGraph[{n, m}, k] gives a list of k pseudorandom graphs.RandomGraph[gdist, ...] samples from ...
WeightedAdjacencyGraph[wmat] gives the graph with weighted adjacency matrix wmat.WeightedAdjacencyGraph[{v_1, v_2, ...}, wmat] gives the graph with vertices v_i and weighted ...
BeniniDistribution[\[Alpha], \[Beta], \[Sigma]] represents a Benini distribution with shape parameters \[Alpha] and \[Beta] and scale parameter \[Sigma].
BirnbaumSaundersDistribution[\[Alpha], \[Lambda]] represents the Birnbaum\[Dash]Saunders distribution with shape parameter \[Alpha] and scale parameter \[Lambda].
DagumDistribution[p, a, b] represents a Dagum distribution with shape parameters p and a and scale parameter b.
EmpiricalDistribution[{x_1, x_2, ...}] represents an empirical distribution based on the data values x_i.EmpiricalDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] ...
ErlangDistribution[k, \[Lambda]] represents the Erlang distribution with shape parameter k and rate \[Lambda].