Seventh International Workshop on Simulation

Events

  • 21 May - 25 May 2013
  • Department of Statistical Sciences, Unit of Rimini, Alma Mater Studiorum University of Bologna, Italy
  • Organiser: The Unit of Rimini of the Department of Statistical Sciences of Bologna University
  • Event Details

This international conference is devoted to statistical techniques in stochastic simulation, data collection and analysis of scientific experiments and studies representing broad areas of interest. Previous Workshops took place in St. Petersburg (Russia) since 1994.

The Unit of Rimini of the Department of Statistical Sciences of Bologna University in collaboration with the Department of Management and Engineering of the University of Padova, the Department of Statistical Modelling of Saint Petersburg State University and INFORMS Simulation Society are sponsoring the Seventh International Workshop on Simulation.

This international conference is devoted to statistical techniques in stochastic simulation, data collection and analysis of scientific experiments and studies representing broad areas of interest. All the previous Workshops took place in St. Petersburg (Russia). The first Workshop took place in May 1994, the second Workshop in June 1996, the third in June 1998, the fourth in June 2001, the fifth in June 2005 and the sixth in June 2009 (see http://pws.math.spbu.ru/).

The Seventh International Workshop on Simulation will take place in the Rimini Campus of the University of Bologna in the historical centre of Rimini (see google maps). The scientific program will be carried out from May 21 to May 24, while May 25 will be devoted to social/free activities. A book of abstracts will be available at the beginning of the Conference. Topics


- Methodology/algorithms for stochastic simulation
- Monte Carlo and quasi Monte Carlo methods
- Experimental design
- Stochastic modelling in economics and finance
- Stochastic modelling in physics and chemistry
- Stochastic modelling in medicine, biology, and environment
- Extremes of random processes
- Latent variable modelling
- Nonparametric inference
- Queues and other discrete-event systems

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