84 citations · 635 across the 64 of their papers we have counts for
5 papers · 1 filter
A stochastic least action principle applied in the description of black swan events
Tatiana Cardoso e Bufalo, R. Bufalo, Lucas P. G. de Figueiredo +2
In this paper we present a formulation of the stochastic least action principle (SAP) to encompass random movements with black swan events (of non dissipative systems) in terms of…
L-2 Regularized maximum likelihood for -model in large and sparse networks
Meijia Shao, Yu Zhang, Qiuping Wang +3
The -model is a powerful tool for modeling large and sparse networks driven by degree heterogeneity, where many network models become infeasible due to computational challenge a…
A network Poisson model for weighted directed networks with covariates
MengXu, Qiuping Wang
The edges in networks are not only binary, either present or absent, but also take weighted values in many scenarios (e.g., the number of emails between two users). The covariate-$…
A sparse model with covariates for directed networks
Qiuping Wang
We are concerned here with unrestricted maximum likelihood estimation in a sparse model with covariates for directed networks. The model has a density parameter , a -d…
Study of a measure of efficiency as a tool for applying the principle of least effort to the derivation of the Zipf and the Pareto laws
A. El Kaabouchi, F. X. Machu, J. Cocks +3
The principle of least effort is believed to be a universal rule for living systems. Its application to the derivation of the power law probability distributions of living systems…