News and Announcements

A Workshop on 'Extremes, Rare Events and Machine Learning' will be held in Paris, France on 24-25 May 2018.

Topic: Rare and extreme events have a major impact on a wide variety of domains from environmental sciences (heat waves, flooding) to finance and insurance (financial crashes, reinsurance). Recent applications in risk management need to take complex and high dimensional data sets into account. On the other hand,  motivated by a wide variety of applications including fraud detection, monitoring of complex networks and aviation safety management, unsupervised anomaly detection has recently received much attention in the machine learning community. This important area of Machine Learning is naturally related to extreme events analysis. As an example, when a complex system is monitored by several physical variables, controlling the false alarm rate is a major issue which can be addressed in the statistical framework of extreme value theory. 

Aim: The purpose of this workshop is to bring together researchers and industrials from the extreme value statistics and the machine learning communities. With a concern for applications, the workshop will include presentations with industrial applications and a round table with industrials. Topics such as random forests, anomaly detection, risk measures and extreme quantile regression will be discussed.

More information is on the conference website.

Next International Statistical Ecology Conference (ISEC) is to be held in St Andrews Scotland, 2-6 July 2018

Full information is online here. Students and recent graduates: There will be a student best paper/poster competition.  Details are here. Abstract submission deadline is 15 January 2018.

New Journal for Advanced Statistical Methodology with Atmospheric and Oceanic Science Applications

Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO)

"The new journal [...] will serve at the interface of statistics and the atmospheric and oceanic sciences. The journal will allow statisticians and mathematicians the opportunity to reach more scientists while publishing cutting-edge statistical methodology. It will also allow researchers in climatology, meteorology, and oceanography an outlet to publish more details of their statistical and computational mathematical developments..."