observational data. We model the process as a self-organized behavior based random exponential network-graph system. To address the … unknown nature of the sampling model in recovering behavior related network information, we use the Cressie-Read (CR) family … of divergence measures and the corresponding information theoretic entropy basis, for estimation, inference, model …

. Illustrations are presented for a parametric random coefficients linear model and for a model with an interval censored outcome, in … both cases with endogenous explanatory variables, and for an incomplete nonparametric model of English auctions. Numerous …

observational data. We model the process as a self-organized behavior based random exponential network-graph system. To address the … unknown nature of the sampling model in recovering behavior related network information, we use the Cressie-Read (CR) family … of divergence measures and the corresponding information theoretic entropy basis, for estimation, inference, model …

Econometrics played a major role in the investigation and litigation of the Federal Trade Commission's successful …

observational data. We model the process as a self-organized behavior based random exponential network-graph system. As a behavior … maximization. For information recovery, we use an information theoretic basis for estimation, inference, model evaluation, and …