Workshop - Statistical methods for dynamical stochastic models - DYNSTOCH 2016

Rennes, from June 8th to June 10th

Organization board: Michael Sorensen, Dominique Dehay, Ronan Le Guével

Scientific board: Reinhard Höpfner, Adeline Leclercq Samson, Michael Sorensen, Masayuki Uchida, Dominique Dehay

The DYNSTOCH network is an international network of researchers on various topics in the inference for stochastic processes. The aim is to bring major contributions to this thema using the tools of modern probability theory including stochastic calculous as well as intensive scientific computing methods.

The focus is on estimation, testing and prediction methods for complex dynamic models such as e.g. diffusions, branching processes ... The problems of interest are for example in modeling and data analysis in finance, turbulence, neuroscience, telecommunication networks, hydrology, and other complex technological systems.

The DYNSTOCH 2016 workshop held from Wednesday, June 8th to Friday, June 10th at University Rennes 2 (Campus Villejean, Rennes, France), at the building B, in the amphi B5 Feuillerat.

The slides of the talks are provided in the program page.

Partners

Irmar LMJL ENS Rennes LMBA LAREMA

Affiliation

ANR CNRS Rennes 1 Rennes 2 Nantes INSA Rennes INRIA ENSRennes UBO UBS Angers UBL