State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
In software product line engineering, feature models enable to automate the generation of productspecific models in conjunction with domain “base models” (e.g. UML models). T...
Germain Saval, Jorge Pinna Puissant, Patrick Heyma...
Following up on the work of Megiddo and Vazirani [10], who determined continuity properties of equilibrium prices and allocations for perhaps the simplest market model, Fisher’s ...
This note furthers existing results on the model reduction of stable periodic systems. It utilizes for that matter a lifting technique to potentially attain less conservative erro...