probability-models approach. To ensure feasible policy, we further impose that rules are stable, determinate and lower …-bound compatible. Our results have important implications for the design, evaluation and analysis of the probability models approach to …We consider Sims's (2008) argument that robust policy making requires that policy models be treated as “probability …

potential interactions that need to be modeled. This scalability problem renders probability models of social interactions …

In this research we introduce a new class of multivariate probability models to the marketing literature. Known as … probability models as the number of dimensions increase. Third, they are very general, encompassing a number of existing … use in empirical analysis than existing probability models used in marketing. We exploit and extend recent developments in …