Conference Service Mandl

abstract: Stochastic models and methods are widely used in a broad range of scientific domains including mathematics and computer science, engineering, economics, natural and life sciences, where the complexity of many relevant problems often renders purely analytical treatment impossible and calls for efficient computational solution approaches.

Such approaches are usually spread over conferences focused on the application domain rather than the stochastic nature of models or solution approaches. But similar challenges occur in different fields such that their computational solution is often more important than the underlying real world system. However, too many researchers hardly mutually notice each others' progress though actually working on the same topic. It is highly desirable to bring them together under the common umbrella of computational stochastics in order to present recent results, exchange knowledge, discuss open problems and new directions.

This workshop is intended to provide a joint interdisciplinary forum for researchers applying probability and statistics in different scientific domains. The goal is to establish a meeting where stochastic models and methods are the common objective and the focus is on computational or algorithmic approaches.