This paper investigates the finite sample properties of a range of inference methods for propensity score …

This paper considers inference in log-linearized dynamic stochastic general equilibrium (DSGE) models with weakly …

We consider the problem of inference on a class of sets describing a collection of admissible models as solutions to a … parameters, making them especially appealing in the target applications. We show that the resulting inference procedures are more …

In this paper we introduce various set inference problems as they appear in finance and propose practical and powerful … discount factors and the admissible mean-variance sets of asset portfolios. We propose to make inference on such sets using … inference on sets. …

technologies toward pervasive wearable solutions allows studying inference also in everyday activities outside research … laboratories. This paper scopes the emerging field and reviews studies focusing on the inference of intent and action in … challenges, gaze-based inference holds a clear promise for machine-based understanding of human intent and future interactive …

different components of the framework, including strategy simulation, strategy inference, strategy evaluation, and strategy …