About SMC 2020
Sequential Monte Carlo (SMC) methods, also known as particle filters or particle methods, have become popular and powerful tools for computational inference in complex probabilistic models used in many and varied fields and applications, including meteorology and oceanography, electrical and aerospace engineering (target tracking, sensor networks, etc.), biochemistry, ecology and several others. The aim of this workshop is to:
- Bring together researchers developing and using SMC methods in various scientific fields (both in academia and industry).
- Open up the field to researchers and users who are new to SMC methods. We will emphasise the interaction of SMC with related areas of research (such as machine learning or data science) where computational inference plays a key role.
Where and when?
The Workshop will be held on the Leganés campus of Universidad Carlos III de Madrid, from May 27 to May 29, 2020.
Please visit this link to see the campus map.