Multiagent decision-making in partially observable environments is usually modelled as either an extensive-form game (EFG) theory or a stochastic (POSG) multiagent reinforcement learning (MARL). One issue with the current situation that while most practical problems can be both formalisms, relationship of two models unclear, which hinders transfer ideas between communities. A second EFGs have r...

We argue that in analyzing panel-data econometric models, researchers rely excessively on statistical criteria to determine model specification, treating it primarily as a matter of inference. This inferential emphasis is most obvious the common practice using tests (e.g., Hausman test) choose between fixed- and random-effects specifications, often ignoring assumptions underpinning these tests....