We consider influence maximization (IM) in social networks, which is the problem of maximizing the number of users that become aware of a product by selecting a set of “seed” users to expose the product to. While prior work assumes a known model of information diffusion, we propose a parametrization in terms of pairwise reachability which makes our framework agnostic to the underlying diffusion...

There are many economic parameters that depend on nonparametric first steps. Examples include games, dynamic discrete choice, average exact consumer surplus, and treatment effects. Often estimators of these asymptotically equivalent to a sample an object referred as the influence function. The function is useful in local policy analysis, evaluating sensitivity estimators, constructing debiased ...

Usually the existence of influential observations is complicated by the presence of collinearity in linear measurement error models. However no method of influence measure available for the possible effect's that collinearity can have on the influence of an observation in such models. In this paper, a new type of ridge estimator based corrected likelihood function (REC) for linear measurement e...

Imprecision in probability values (represented through credal sets) allows a more realistic modelling of uncertainty in decision problems. Uncertainties often lead to partially ordered preferences and, consequently, different criteria of choice may be taken into account. In this paper, we present an algorithm that evaluates an extended version of influence diagrams, where chance variables repre...