Random graph models provide a mathematical framework for capturing the structure and dynamics of complex networks by assigning probabilistic rules to vertex connections. Classical models such as the ...
Bernstein polynomial estimators employ weighted sums of Beta basis functions to approximate unknown probability density functions on compact intervals. By representing the target density as a convex ...