Organization board: Pierre Ailliot, Denis Allard, Anne Cuzol, Ronan Fablet, William Kleiber, Etienne Mémin, Valérie Monbet, Philippe Naveau, Pierre Tandeo, Ying Sun
How can we reliably predict climate-related risks? Stochastic weather generators give us this ability by simulating sequences of daily weather and climate consistent with specific aspects of climate variability and change. The simulated sequences of meteorological variables (rainfall, wind, temperature,...) are typically used as inputs into complex environmental and ecosystem models. They have a wide range of applications in hydrology, agriculture and environmental management.
This workshop aims at bringing together a wide range of researchers, practitioners, and graduate students whose work is related to the stochastic modelling of meteorological variables and stochastic weather generators.
Conference - Bayesian statistics applied to archaeology
Organization board: Bernard Delyon, Frédéric Lavancier, Charles Kervrann, Melen Leclerc
The 11th French-Danish Workshop on Spatial Statistics and Image Analysis in Biology (SSIAB 11) will take place in May 25-27 2016 in Rennes (Brittany) at the French Institute for Research in Computer Science and Automation (Inria) Centre. It is jointly organized by the Serpico team of Inria, the Mathematics research institute IRMAR of the University of Rennes 1 and the Inra Institute of Genetics, Environment and Plant Protection (IGEPP).This workshop is devoted to spatial statistics and image analysis and their applications in biology (e.g. agriculture, epidemiology, ecology, health, environment).
The first edition took place in Garchy (France, March 1996) and the last two editions took place in Aalborg (Denmark, May 2014) and Avignon (France, May 2012) respectively.
Online registration is open until the 30th of April. The registration is free and includes access to talks and lunches.
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 will be held from Wednesday, June 8th to Friday, June 10th at University Rennes 2 (Campus Villejean, Rennes, France)
The deadline for submission of contributions is May 8th, and the deadline for registration is May 8th.
Welcome to the webpage of the 31st International Workshop on Statistical Modelling (IWSM).
The 31st edition of the IWSM will be held in Rennes (France) from 4 to 8 July 2016, hosted by the Institut National des Sciences Appliquées.
IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense, involving both academic and professional statisticians and data analysts. Since its first edition, the spirit of the workshop has always been to focus on problems motivated by real life data and on solutions that make novel contributions to the subject.
The atmosphere of the workshop is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling. As a sign of positive feedback the IWSMs report many returning participants.
Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged.
New information about the 31st IWSM will be continuously added on this website. If you have any questions or comments, please contact us.
This summer school will be mainly devoted to three courses by Ivan Corwin and Martin Hairer on Khardar-Parisi-Zhang (KPZ) equation and Peter Friz on rough paths. Several others talks will present the most recent advances on these topics.
Guiding principle in the courses will be to present the theory of rough paths and recent work by Martin Hairer who managed to solve rigorously the KPZ equation using this theory among other ones. In conjunction with recent breakthroughs on the exact statistics of the KPZ equation (the topic of Ivan Corwin's mini-course), these results will likely validate a number of predictions in the physics literature in which this equation is often seen as a universal limit. The method developed by Martin Hairer will also allow progresses on other very singular equations.
The registration is closed. If you already registered, click
here to access the payment form. The speakers of this event are exempted from this registration.